Review of life prediction for mechanical major equipments

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 47, Issue 11, 2011, Pages 100-116

  Zhang, Xiaoli ^a   Chen, Xuefeng ^a   Li, Bing ^a   He, Zhengjia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Life prediction; Mechanical major equipments

Indexed keywords

CURRENT RESEARCH STATUS; DATA ACCUMULATION; ECONOMIC DEVELOPMENT; EXPERIMENTAL VERIFICATION; HOTSPOTS; LIFE PREDICTIONS; MECHANICAL DESIGN; MECHANICAL EQUIPMENT; MECHANICAL MAJOR EQUIPMENTS; NATIONAL DEFENSE; PROBABILITY STATISTIC; THEORETICAL MODELING;

CONSTRUCTION EQUIPMENT; FORECASTING; INFORMATION TECHNOLOGY; MACHINERY; RESEARCH;

FATIGUE OF MATERIALS;

EID: 79960066004     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2011.11.100     Document Type: Article

References (137)

1. National Natural Science Foundation of Engineering and Materials Science Division. Mechanical engineering discipline development strategy report (2011~2020)[M]. Beijing: Science Press, 2010.
2. LEI Ge. Diagnostic manual of electrical equipment[M]. Beijing: China Electric Power Press, 2001.
3. CHEN Yueliang, DUAN Chengmei, LÜ Guozhi. The progress and problems of aircraft service life prediction technology[J]. Aircraft Design, 2001(3): 16-21.
4. ZHOU Jinhui. Study on the methods for detecting the conditions of key devices and predicting their remaining lives[D]. Xi'an: Xidian University, 2006.
5. YUAN Xi, LI Shunming. Research status and development of forecast method of fatigue life[J]. Aeronautical Manufacturing Technology, 2005(12): 80-84.
6. GRIFFITH A A. The phenomenon of rupture and flow in solids[J]. Philosophical Transactions of the Royal Society of London, Series A, 1920(221): 163-198.
7. PARIS P C, ERDOGAN F. A critical analysis of crack propagation laws[J]. Journal of Basic Engineering, 1963, 85(4): 528-534.
8. JANSON J. Dugdale-crack in a material with continuous damage formation[J]. Engineering Fracture Mechanics, 1977, 9(4): 891-899.
9. DATTOMA V, GIANCANE S, NOBILE R, et al. Fatigue life prediction under variable loading based on a new non-linear continuum damage mechanics model[J]. International Journal of Fatigue, 2006, 28(2): 89-95.
10. MAKKONEN M. Predicting the total fatigue life in metals[J]. International Journal of Fatigue, 2009, 31(7): 1163-1175.
11. FAN Z C, CHEN X D, CHEN L, et al. An equivalent strain energy density life prediction model[C]//5th Fracture Mechanics Symposium, October 31-November 5, 2007, Changsha, China. Shanghai: East China University Science and Technology Press, 2007: 277-282.
12. NEWAN J C, PHILLIPS E P, SWAIN M H. Fatigue-life prediction methodology using small-crack theory[J]. International Journal of Fatigue, 1999, 21(2): 109-119.
13. WU Xueren, LIU Jianzhong. Total fatigue life prediction for aeronautical materials by using small-crack theory[J]. Acta Aeronautica et Astronautica Sinica, 2006, 27(2): 219-226.
14. MOHANTY J R, VERMA B B, RAY P K. Prediction of fatigue crack growth and residual life using an exponential model: Part I (constant amplitude loading)[J]. International Journal of Fatigue, 2009, 31(3): 418-424.
15. MOHANTY J R, VERMA B B, RAY P K. Prediction of fatigue crack growth and residual life using an exponential model: Part II (mode-I overload induced retardation)[J]. International Journal of Fatigue, 2009, 31(3): 425-432.
16. TU Shandong, XUAN Fuzhen, WANG Weize. Some critical issues in creep and fracture assessment at high temperature[J]. Acta Mentallurgica Sinica, 2009, 45(7): 781-787.
17. PANASYUK V V, RATYCH L V, DMYTRAKH I N. Fatigue crack-growth in corrosive environments[J]. Fatigue of Engineering Materials and Structures, 1984, 7(1): 1-11.
18. ANDREIKIV O E, LESIV R M, LEVYTS'KA N M. Crack growth in structural materials under the combined action of fatigue and creep (review)[J]. Materials Science, 2009, 45(1): 1-17.
19. SHIBLI I A, Al-ABED B, NIKBIN K. Scatter bands in creep and fatigue crack. growth rates in high temperature plant materials data[J]. Materials at High Temperatures, 1998, 15(3-4): 143-149.
20. CHEN X, KIM K S. Multiaxial fatigue life prediction of weld joints[C]//Fracture Mechanics Symposium, August 19-22, 2003, Shanghai, China. Shanghai: East China University Science and Technology Press, 2003: 241-247.
21. DAS J, SIVAKUMAR S M. Multiaxial fatigue life prediction of a high temperature steam turbine rotor using a critical plane approach[J]. Engineering Failure Analysis, 2000, 7(5): 347-358.
22. MOREL F. A critical plane approach for life prediction of high cycle fatigue under multiaxial variable amplitude loading[J]. International Journal of Fatigue, 2000, 22(2): 101-119.
23. ZHANG S, SAKANE M. Multiaxial creep-fatigue life prediction for cruciform specimen[J]. International Journal of Fatigue, 2007, 29(12): 2191-2199.
24. BYINGTON C S. Data-driven neural network methodology to remaining life predictions for aircraft actuator components[C]//2004 IEEE Aerospace Conference Proceedings, March 6-13, 2004, Big Sky, MT, United States. Washington DC: IEEE Computer Society, 2004: 3581-3589.
25. PAWAR P M, GANGULI R. Fuzzy-logic-based health monitoring and residual-life prediction for composite helicopter rotor[J]. Journal of Aircraft, 2007, 44(3): 981-995.
26. LIU X, XUAN F Z, SI J, et al. Expert system for remnant life prediction of defected components under fatigue and creep-fatigue loadings[J]. Expert Systems with Applications, 2008, 34(1): 222-230.
27. KIM Y H, SONG J H, PARK J H. An expert system for fatigue life prediction under variable loading[J]. Expert Systems with Applications, 2009, 3: 4996-5008.
28. GEBRAEEL N, LAWLEY M, LIU R, et al. Residual life, predictions from vibration-based degradation signals: A neural network approach[J]. IEEE Transactions on Industrial Electronics, 2004, 51(3): 694-700.
29. GOTO S, ADACHI Y, KATAFUCHI S, et al. On-line deterioration prediction and residual life evaluation of rotating equipment based on vibration measurement[C]//2008 Proceedings of Sice Annual Conference, August 20-22, 2008, Tokyo, Japan, Tokyo: Society of Instrument and Control Engineers, 2008: 777-782.
30. HE Z X, SONG S W, LI F, et al. Vibration fatigue life prediction of turbine disk based on BP neural networks[C]//International Conference on Heterogeneous Material Mechanics, June 3-8, 2008, Anhui, China. Lancaster: Destech Publications, 2008: 1233-1236.
31. XI Lifeng, HUANG Runqing, LI Xinglin, et al. Residual life predictions for ball bearing based on neural networks[J]. Chinese Journal of Mechanical Engineering, 2007, 43(10): 137-143.
32. AL-ASSAF Y, EI Kadi H. Fatigue life prediction of composite materials using polynomial classifiers and recurrent neural networks[J]. Composite Structures, 2007, 77(4): 561-569.
33. NAGEM R J, SENG J M, WILLIAMS J H. Residual life predictions of composite aircraft structures via nondestructive testing, part 1: Prediction methodology and nondestructive testing[J]. Materials Evaluation, 2000, 58(9): 1065-1074.
34. NAGEM R J, SENG J M, WILLIAMS J H. Residual life predictions of composite aircraft structures via nondestructive testing, part 2: Degradation modeling and residual life prediction[J]. Materials Evaluation, 2000, 58(11): 1310-1319.
35. KAWAKUBO Y, MIYAZAWA S, NAGATA K, et al. Wear-life prediction of contact recording head[J]. IEEE Transactions on Magnetics, 2003, 39(2): 888-892.
36. WATSON M, BYINGTON C, EDWARDS D, et al. Dynamic modeling and wear-based remaining useful life prediction of high power clutch systems[J]. Tribology Transactions, 2005, 48(2): 208-217.
37. ISHII T, UEHA S, NAKAMURA K, et al. Wear properties and life prediction of frictional materials for ultrasonic motors[J]. Japanese Journal of Applied Physics Part 1-Regular Papers Short Notes & Review Papers, 1995, 34(5B): 2765-2770.
38. WU Wenjian. Test and research for the on-line monitor system of 125 MW turbine's rotor life evaluation and prediction[J]. Zhejiang Electric Power, 2000(6): 9-14.
39. XIE Yonghui, MENG Qingji. Numerical model for steam turbine blade fatigue life[J]. Journal of Xi'an Jiaotong University, 2002, 36(9): 912-915.
40. GOODE K B, MOORE J, ROYLANCE B J. Plant machinery working life prediction method utilizing reliability and condition-monitoring data[J]. Proceedings of the Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineering, 2000, 214(E2): 109-122.
41. JIN H T, PISTOR R, LOWDEN P, et al. Prediction of gas turbine blade life-An interdisciplinary engineering approach for condition-based maintenance[C]//Proceedings of the ASME Turbo Expo., May 6-11, 2006, Barcelona, Spain. New York: ASME, 2006: 519-524.
42. CHEN Lijie, JIANG Tieqiang, XIE Liyang. Overview on life prediction methods of turbine blade for creep/fatigue interaction[J]. Aeronautical Manufacturing Technology, 2004(12): 61-64.
43. CHEN Lijie, XIE Liyang. Prediction of high-temperature low-cycle fatigue life of aeroengine's turbine blades at low-pressure stage[J]. Journal of Northeastern University, 2005, 26(7): 673-676.
44. MINO K, IMAMURA R, KOIWAI H, et al. Residual life prediction of turbine blades of aeroderivative gas turbines[J]. Advanced Engineering Materials, 2001, 3(11): 922-924.
45. FU Tao, XU Chunsheng. The remaining life prediction of wing aircraft engines[J]. Journal of Civil Aviation Flight University of China, 2006, 17(3): 18-21.
46. WANG Pinghui, FAN Benyao, FU Huimin. Reliability assessment and life prediction for satellite engine[J]. Journal of Aerospace Power, 2004, 19(6): 745-748.
47. FEN Yunwen, XUE Xiaofeng, FENG Yuansheng. Prolonging safely service life of old-age aircraft[J]. Journal of Northwestern Polytechnical University, 2006, 24(2): 237-240.
48. FU Na. The analysis of the strength and the life of the turbine disc and blade[D]. Xi'an: Northwestern Polytechnical University, 2006.
49. WANG X L, NIE H. Fatigue life prediction of key structural parts in aeronautics and astronautics based on fuzzy theory[C]//2nd International Symposium on Systems and Control in Aerospace and Astronautics, December 10-12, 2008, Shenzhen, China. New York: IEEE, 2008: 637-640.
50. LIN Yuanhua, LUO Hongzhi, ZOU Bo, et al. Research on the failure mechanism and fatigue life prediction of drillpipe[J]. Oil Drilling & Production Technology, 2004, 26(1): 19-22.
51. ZHANG Deping, LUO Faqian, LIN Yuanhua, et al. Research on fatigue life prediction of drill string[J]. Fault-Block Oil & Gas Field, 2006, 13(3): 57-60.
52. JIANG Yong, GONG Jianming, TU Shandong. Residual life prediction and rapid maintenance strategies of reformer furnace tubes[J]. Petroleum Refinery Engineering, 2008, 38(5): 31-35.
53. LÜ Ruidian, YU Mingjian, ZHENG Yueming. Contrast analysis to estimative model of residual life of steam-generator's boiler pipe[J]. Petro-chemical Equipment, 2004, 33(3): 13-14.
54. ZHAO Xinwei, LUO Jinheng, HAN Xiaoyi, et al. The remaining life prediction method of corroded pipeline in service based on reliability theory[J]. Pressure Vessel Technology, 2001, 18(2): 43, 56-58.
55. LI Yunlong, ZHUANG Chuanjing, FENG Yaorong, et al. Analysis and predication on fatigue life of oil and gas pipelines[J]. Gas Storage and Transportation, 2004, 23(12): 5, 41-43, 60.
56. HAO Yun, SHUAI Jian, GUO Yuan. Predictions for the fatigue lifetime of oil and gas pipelines[J]. Technology Supervision in Petroleum Industry, 2008, 25(5): 58-59.
57. LIU Moshan. Finite element simulation and analysis of residuel strength and residuel life for corroded pipelines[J]. Science & Technology Review, 2009, 27(6): 34-37.
58. ZHANG Fan, JIN Xiaoxiong. The application of time waveform replication technology in automobile compotation technology in automobile component fatigue life prediction[J]. Auto Mobile Science & Technology, 2007(1): 21-23.
59. BAEK S H, CHO S S, JOO W S. Fatigue life prediction based on the rainflow cycle counting method for the end beam of a freight car bogie[J]. International Journal of Automotive Technology, 2008, 9(1): 95-101.
60. RICHMOND S. Finite element analysis of freight car structures for fatigue life prediction[C]//Joint Rail Conference on Restoring and Upgrading Rail Infrastructure, Rolling Stock and Systems, April 4-6, 2006, Atlanta, GA. New York: ASME, 2006: 1-6.
61. CUI Shengmin, YANG Zhanchun. Research on the fatigue life prediction method of automobile wheel[J]. Journal of Mechanical Strength, 2002, 24(4): 617-619, 631.
62. SU Chunhua, LUO Lei, HAI Jun, et al. The prediction of vehicle's service life with BP neural network[J]. Journal of Academy of Military Transportation, 2009, 11(4): 49-51, 70.
63. YU Lei. Application of gray system theory in predicting life of automobile gear[J]. Automobile Technology, 2006(9): 24-26.
64. LI Xiaohui, XIE Jilong. Prediction of fatigue crack growth condition and lifetime on coupler guard arm area of E grade steel of burden strain[J]. Journal of Beijing Jiaotong University, 2006, 30(4): 102-104, 108.
65. REN Zunsong, XIE Jilong. Influence on axle load to the service life of the crossbar set of railway freight car with equivalent load[J]. Chinese Journal of Mechanical Engineering, 2008, 44(3): 16-21.
66. WU Pingbo, WEN Songtao, WANG Jianbin, et al. Fatigue life prediction on the side frame of ZK2 bogie of the speed-increased freight car[J]. China Railway Science, 2009, 30(1): 91-95.
67. ZHANG Guoqing, PU Gengqiang, WANG Chengtao. Fatigue life prediction of crankshaft made of material 48MnV based on fatigue tests, dynamic simulation and FEA[J]. Chinese Journal of Mechanical Engineering, 2006, 19(2): 307-311.
68. XU Jimin, ZHANG Haiquan, CHEN Qiang, et al. Modeling of safety assessment and useful life time of high-speed passenger car brake discs[J]. Journal of Tsinghua University, 2006, 46(5): 609-612.
69. CHUN Qing, QIU Hongxing. The review of the fatigue damage mechanisms, detection techniques and fatigue life prediction for in-service railway steel bridge[J]. Special Structures, 2005, 22(4): 80-84.
70. CHUN Qing, QIU Hongxing. Research on fatigue life evaluating of railway steel bridge based on nominal stress method[J]. Special Structures, 2007, 24(3): 98-101.
71. DISSANAYAKE P B R, KARUNANANDA P A K. Remaining service life prediction of riveted wrought iron railway bridges using system reliability approach[J]. Journal of the National Science Foundation of Sri Lanka, 2008, 36(2): 151-156.
72. LIU Jianfeng, WEI Qingchao. Prediction of fatigue service life for rails of high-speed railway[J]. Journal of Railway Engineering Society, 2000, 66(2): 30-34.
73. WILSON B M, DICK M G, MAGNER S H. Predicting railway tapered roller bearing life using measured residual stress and retained austenite data[C]//JRC2008: Proceedings of the ASME/IEEE/ASCE Joint Rail Conference, APR 22-24, 2008, Williamstown, DE. New York: ASME, 2008: 159-164.
74. ZHANG Xinju, YUE Yanfang. Study on forecast of cutting tool residual wear life in MES[J]. Tool Engineering, 2007, 41(5): 32-33.
75. ALAUDDIN M, ELBARADIE M A, HASHMI M S J. Prediction of tool life in end milling by response surface methodology[J]. Journal of Materials Processing Technology, 1997, 71(3): 456-465.
76. KADIRGAMA K, ABOU-EL-HOSSEIN K A, MOHAMMAD B, et al. Prediction of tool life by statistic method in end-milling operation[J]. Scientific Research and Essays, 2008, 3(5): 180-186.
77. CHAO P Y, HWANG Y D. An improved neural network model for the prediction of cutting tool life[J]. Journal of Intelligent Manufacturing, 1997, 8(2): 107-115.
78. GEIGER M, FALK B. Prediction of service life and failure probability of cold forging tools[J]. Cirp Annals-Manufacturing Technology, 2001, 50(1): 173-176.
79. DUAN Xiong, LI Dayun. The thermal-structural coupling analysis and fatigue life's prediction research of roll shell in continuous roll casting[J]. Machinery Design & Manufacture, 2009(1): 137-139.
80. ZHONG Yuning, WANG Shiren, CHEN Jiping. Prediction of rolling mill bearing life[J]. Bearing, 1989, 78(3): 47-52, 64.
81. TANG Qinghong, MA Jisheng, ZHAO Qi, et al. Research on simulation of predicting fatigue life to creeper tread of self-propelled gun[J]. Journal of System Simulation, 2007, 19(9): 1983-1986, 2011.
82. FEN Xunxin, FEN Bing, ZHANG Jingpin. Fatigue life prediction for torsion shaft of creeper tread of self-propelled gun[J]. Gun Launch & Control Journal, 1999(4): 32-34.
83. MENG Jinxian, ZHU Xiaolu. Applying regression and stochastic time series analysis to the prediction of pitting fatigue life for gears[J]. Chinese Journal of Mechanical Engineering, 1995, 8(4): 319-324.
84. BARKOV A, BARKOVA N. Condition assessment and life prediction of rolling element bearings[J]. Sound and Vibration, 1995, 29(6): 10-17.
85. BARKOV A, BARKOVA N, MITCHELL J S. Condition assessment and life prediction of rolling element bearings[J]. Sound and Vibration, 1995, 29(9): 27-31.
86. SADA T. Rolling bearing life prediction and the research trend[J]. Journal of Japanese Society of Tribologists, 2008, 53(10): 659-664.
87. KUJAWSKI D, STOYCHEV S. Fatigue crack growth behavior under spectrum loading[C]//1st Conference on Engineering Against Fracture, May 28-30, 2008, Patras, Greece. Netherlands: Springer, 2009: 215-233.
88. BARAM J, ROSEN M. Prediction of low-cycle fatigue-life by acoustic-emission 1. 2024-t3 aluminum-alloy[J]. Engineering Fracture Mechanics, 1981, 15(3-4): 477-486.
89. BARAM J, ROSEN M. Prediction of low-cycle fatigue-life by acoustic-emission 2. 7075-t6 aluminum-alloy[J]. Engineering Fracture Mechanics, 1981, 15(3-4): 487-494.
90. BAXTER W J, WANG P C. Finite-element prediction of high cycle fatigue life of aluminum-alloys[J]. Metallurgical Transactions A-Physical Metallurgy and Materials Science, 1990, 21(5): 1151-1159.
91. BACHE M R, TASLEEM M. Fatigue life prediction techniques for notch geometries in titanium alloys[J]. International Journal of Fatigue, 1999, 21: S187-S197.
92. COWLES B A. Application and life prediction of titanium alloys in military gas turbine engines[C]//International Symposium on Fatigue Behavior of Titanium Alloys at the 1998 TMS Fall Meeting, October 11-15, 1998, Chigaco. Warrendale: Minerals, Metals & Materials Society, 1999: 277-290.
93. ANDRESEN P L, FORD F P. Life prediction by mechanistic modeling and system monitoring of environmental cracking of iron and nickel-alloys in aqueous systems[J]. Materials Science and Engineering A-Structural Materials Properties Microstructure and Processing, 1988, 103(1): 167-184.
94. BASOALTO H C, DYSON B F, MCLEAN M. A quantitative physics-based approach to creep and LCF life prediction: Application to nickel-base superalloys[C]//Symposium on Advanced Materials and Processes for Gas Turbines, September 22-26, 2002, Copper MT. Warrendale: Minerals, Metals & Materials Society, 2003: 53-61.
95. CHAN K S, ENRIGHT M P. Physically-based models for predicting fatigue life variability in NI-based superalloys[C]//3rd Symposium on Modeling the Performance of Engineering Structural Materials, October 7-10, 2002, Columbus. Warrendale: Minerals, Metals & Materials Society, 2002: 135-147.
96. CHEN L J, WANG Z G, YAO G, et al. An assessment of three creep-fatigue life prediction methods for nickel-based superalloy GH4049[J]. Fatigue & Fracture of Engineering Materials & Structures, 2000, 23(6): 509-519.
97. CASTILLO R, KOUL A K, TOSCANO E H. Lifetime prediction under constant load creep conditions for a cast Ni-base superalloy[J]. Journal of Engineering for Gas Turbines and Power-Transactions of the ASME, 1987, 109(1): 99-106.
98. GOSWAMI T. Creep-fatigue life prediction of Cr-Mo steel alloys[C]//Symposium on Materials Lifetime Science and Engineering Held at the 2003 TMS Annual Meeting, March 2-6, 2003, San Diego, CA. Warrendale: Minerals, Metals & Materials Society, 2003: 43-50.
99. SOKOLKIN Y V, CHEKALKIN A A, BABUSHKIN A V. Structure analysis, fatigue testing, and lifetime prediction of composite steels[J]. Mechanics of Composite Materials, 1998, 34(3): 269-278.
100. GGARWAL M L, AGRAWAL V P, KHAN R A. A stress approach model for predictions of fatigue life by shot peening of EN45A spring steel[J]. International Journal of Fatigue, 2006, 28(12): 1845-1853.
101. BAUER V, CHRIST H J. Application of a fracture mechanics concept to life prediction of austenitic stainless steels under TMF loading conditions[J]. Transactions of the Indian Institute of Metals, 2005, 58(2-3): 475-480.
102. DONG J, CHEN X D, FAN Z C, et al. High temperature fatigue creep life prediction of 316L stainless steel under 2-step load[C]//Fracture Mechanics Symposium, October 31-November 5, 2008, Hangzhou, China. Shanghai: East China University Science and Technology Press, 2008: 299-302.
103. CHEN X, JIN D, KIM K S. Fatigue life prediction of type 304 stainless steel under sequential biaxial loading[J]. International Journal of Fatigue, 2006, 28(3): 289-299.
104. CUI W C. A state-of-the-art review on fatigue life prediction methods for metal structures[J]. Journal of Marine Science and Technology, 2002, 7(1): 43-56.
105. BATHIAS C. There is no infinite fatigue life in metallic materials[J]. Fatigue & Fracture of Engineering Materials & Structures, 1999, 22(7): 559-565.
106. PALMGREN A. The life of ball bearings[M]. Berlin: Verfahrenstechnik, 1924.
107. MINER M A. Cumulative damage in fatigue[J]. Journal of Applied Mechanics-Transactions of the ASME, 1945, 12(3): A159-A164.
108. FATEMI A, YANG L. Cumulative fatigue damage and life prediction theories: A survey of the state of the art for homogeneous materials[J]. International Journal of Fatigue, 1998, 20(1): 9-34.
109. YANG L, FATEMI A. Cumulative fatigue damage mechanisms and quantifying parameters: A literature review[J]. Journal of Testing and Evaluation, 1998, 26(2): 89-100.
110. CHABOCHE J L, LESNE P M. A non-linear continous fatigue damage model[J]. Fatigue & Fracture of Engineering Materials & Structures, 1988, 11(1): 1-17.
111. NI Xianggui, LI Xinliang, WANG Xiuxi. General modification and application of the paris law for fatigue crack propagation[J]. Pressure Vessel Technology, 2006, 23(12): 8-15, 19.
112. LÜ Kaibo, LIU Hunju. Study on the methods of predicting mechanical fatigue life based on finite element method[J]. Mechanical Engineering & Automation, 2008, 121(6): 113-114, 117.
113. ZHANG Jinzhu, XU Cheng, HU Liangmin, et al. Simulation and prediction of life of rubbing elements using ADAMS[J]. Mechanical Science and Technology for Aerospace Engineering, 2007, 26(6): 767-769.
114. GAO Zhentong, XIONG Junjiang. The present situation and prospects for the fatigue/fracture reliability study[J]. Journal of Mechanical Strength, 1995, 17(3): 61-82.
115. LI Jianguo, JIANG Longping, YE Xinnong. Research on prediction method of fatigue crack growth based on the gray neural network[J]. Journal of Naval Aeronautical and Astronautical University, 2008, 23(3): 281-284.
116. WANG X H, RONG M Z, QIU J, et al. Research on mechanical fault prediction algorithm for circuit breaker based on sliding time window and ANN[J]. IEICE Transactions on Electronics, 2008, E91c(8): 1299-1305.
117. HAO Ying. The fault diagnosis and life prediction research of the civil aeroengine based on intelligent technology[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2006.
118. MOHANTY J R, VERMA B B, RAY P K, et al. Application of artificial neural network for fatigue life prediction under interspersed mode-1 spike overload[J]. Journal of Testing and Evaluation, 2010, 38(2): 96-101.
119. BEZAZI A, PIERCE S G, WORDEN K, et al. Fatigue life prediction of sandwich composite materials under flexural tests using a Bayesian trained artificial neural network[J]. International Journal of Fatigue, 2007, 29(4): 738-747.
120. KWON Y I, LIM B S. A study of creep-fatigue life prediction using an artificial neural network[J]. Metals and Materials International, 2001, 7(4): 311-317.
121. LI J W, PENG Z F. Artificial neural network prediction of creep rupture life of nickel base single crystal superalloys[J]. Acta Metallurgica Sinica, 2004, 40(3): 257-262.
122. LIAO X L, XU W F, GAO Z Q. Application of artificial neural network to forecast the tensile fatigue life of carbon material[C]//7th International Conference on Fracture and Damage Mechanics, September 9-11, 2008, Seoul, Korea. Stafa-Zurich: Trans. Tech. Publications LTD, 2008: 533-536.
123. NATARAJAN U, PERIASAMY V M, SARAVANAN R. Application of particle swarm optimisation in artificial neural network for the prediction of tool life[J]. International Journal of Advanced Manufacturing Technology, 2007, 31(9-10): 871-876.
124. PLEUNE T T, CHOPRA O K. Using artificial neural networks to predict the fatigue life of carbon and low-alloy steels[J]. Nuclear Engineering and Design, 2000, 197(1-2): 1-12.
125. SEKERCIOGLU T, KOVAN V. Prediction of static shear force and fatigue life of adhesive joints by artificial neural network[J]. Kovove Materially-Metallic Materials, 2008, 46(1): 51-57.
126. SOHN I, BAE D. Fatigue life prediction of spot-welded joint by strain energy density factor using artificial neural network[C]//4th International Conference on Fracture and Strength of Solids, August 16-18, 2000, Pohang, Korea. Stafa-Zurich: Trans. Tech. Publications LTD, 2000: 957-962.
127. SRINIVASAN V S, NAGESHA A, VALSAN M, et al. Artificial neural network approach to low cycle fatigue and creep-fatigue interaction life prediction of modified 9Cr-1Mo ferritic steel[J]. Transactions of the Indian Institute of Metals, 2005, 58(2-3): 261-267.
128. SRINIVASAN V S, VALSAN A, RAO K B S, et al. Low cycle fatigue and creep-fatigue interaction behavior of 316L(N) stainless steel and life prediction by artificial neural network approach[J]. International Journal of Fatigue, 2003, 25(12): 1327-1338.
129. VASSIOPOULOS A P, GEORGOPOULOS E F, DIONYSOPOULOS V. Artificial neural networks in spectrum fatigue life prediction of composite materials[J]. International Journal of Fatigue, 2007, 29(1): 20-29.
130. ESPASA M L, GAUDES J, PRUENCA N, et al. Expert system to life prediction of petroleum refinery piping. High temperature[J]. Afinidad, 1997, 54(468): 98-102.
131. OHASHI T, MOTOMURA M. Tool life prediction for cup shaped cold forgings with fuzzy language risk analysis and fuzzy inference[J]. Computers & Industrial Engineering, 1996, 31(3-4): 791-795.
132. YAN J H, ISOBE N, LEE J. Fuzzy logic combined logistic regression methodology for gas turbine first-stage nozzle life prediction[C]//6th International Conference on e-Engineering and Digital Enterprise Technology, August 26-29, 2007, Harbin, China. Stafa-Zurich: Trans. Tech. Publications LTD, 2008: 583-587.
133. ZIO E, DI MAIO F. A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system[J]. Reliability Engineering & System Safety, 2010, 95(1): 49-57.
134. BUKKAPATNAM S T S, SADANANDA K. A genetic algorithm for unified approach-based predictive modeling of fatigue crack growth[J]. International Journal of Fatigue, 2005, 27(10-12): 1354-1359.
135. LI J, MU X D, ZHENG S, et al. Research on lifetime grey prediction of electronic equipment based on improved genetic algorithm[C]//International Conference on Advanced Computer Control, January 22-24, 2009, Singapore. Los Alamitos: IEEE Computer Society, 2009: 493-496.
136. HUANG R Q, XI L F, LI X L, et al. Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods[J]. Mechanical Systems and Signal Processing, 2007, 21(1): 193-207.
137. LIAO Weixian. A summary of methods of predicting reliability life of nuclear equipment with small samples[J]. China Nuclear Science and Technology Report, 1999(S4): 305-328.