A review on approaches for condition based maintenance in applications with induction machines located offshore

Modeling, Identification and Control

Volumn 33, Issue 2, 2012, Pages 69-86

  Cibulka, J ^a   Ebbesen, M K ^a   Hovland, G ^a   Robbersmyr, K G ^a   Hansen, M R ^a  

^a UNIVERSITY OF AGDER   (Norway)

Author keywords

Bearing; Condition monitoring; Diagnostics; Drivetrain; Gearbox; Induction machine; Prognostics; Signal processing; Wind turbine

Indexed keywords

CONDITION-BASED MAINTENANCE; DRIVETRAIN; GEARBOX; INDUCTION MACHINES; MAINTENANCE ACTION; MONITORING TECHNIQUES; OFFSHORE APPLICATIONS; PROGNOSTICS;

BEARINGS (STRUCTURAL); CONDITION MONITORING; PLASMA DIAGNOSTICS; SIGNAL PROCESSING; WIND TURBINES;

MAINTENANCE;

EID: 84864346936     PISSN: 03327353     EISSN: None     Source Type: Journal    
DOI: 10.4173/mic.2012.2.4     Document Type: Review

References (110)

1. Albizu, I. , Zamora, I. , Mazon, A. , and Tapia, A. Techniques for online diagnosis of stator shorted turns in induction motors. Electric Power Components and Systems, 2006. 34(1):97-114. doi:10. 1080/15325000691001359. (Pubitemid 43148739)
2. Amari, S. , McLaughlin, L. , and Pham, H. Costeective condition-based maintenance using markov decision processes. In Proceedings-Annual Reliability and Maintainability Sympo-sium RAMS'06, volume 2. pages 464-469, 2006. doi:10. 1109/RAMS. 2006. 1677417. (Pubitemid 46900310)
3. Ambarisha, V. and Parker, R. Nonlinear dynamics of planetary gears using analytical and nite element models. Journal of Sound and Vibration, 2007. 302(2):577-595. doi:10. 1016/j. jsv. 2006. 11. 028.
4. Antonino-Daviu, J. , Riera-Guasp, M. , Folch, J. , and Palomares, M. Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines. IEEE Trans. Ind. Appl. , 2006. 42(4):990-996. doi:10. 1109/TIA. 2006. 876082. (Pubitemid 44111477)
5. Arthur, N. Development, implementation and application of a condition based maintenance assessment tool for the uk oil and gas industry. Int. Journal of COMADEM, 2005. 8(4):2-9. (Pubitemid 43130032)
6. Assaf, T. , Henao, H. , and Capolino, G. Simplied axial ux spectrum method to detect incipient stator inter-turn short-circuits in induction machine. In 2004 IEEE International Symposium on Indus-trial Electronics, volume 2. pages 815-819, 2004. doi:10. 1109/ISIE. 2004. 1571918.
7. Bethel, N. Identifying motor defects through fault zone analysis. Iron and steel engineer, 1999. 76(4):64-67.
8. Bhushan, B. and Gupta, B. Handbook of Tribol-ogy: Materials, Coatings, and Surface Treatments. McGraw-Hill, 1991.
9. Blodt, M. , Granjon, P. , Raison, B. , and Regnier, J. Fault detection, chapter 20: Mechanical fault detection in induction motor drives through stator current monitoring-Theory and application examples, pages 451-488. In-Teh, 2010.
10. Boashash, B. Time Frequency Signal Analysis and Pro-cessing-A Comprehensive Reference. Elsevier, 2003.
11. Briz, F. , Degner, M. , Garcia, P. , and Bragado, D. Broken rotor bar detection in line-fed induction machines using complex wavelet analysis of startup transients. IEEE Trans. Ind. Appl. , 2008. 44(3):760-768. doi:10. 1109/TIA. 2008. 921382. (Pubitemid 351796122)
12. Bye, R. , Hansson, L. , and Okstad, E. Implementing integrated operations in a mobile oshore production service provider. In SPE Intelligent En-ergy Conference and Exhibition 2010, volume 2. Society of Petroleum Engineers, pages 641-654, 2010. doi:10. 2118/128504-MS.
13. Carter, S. , Fisher, A. , Goodall, P. , Hinds, M. , Lancaster, S. , and Shore, S. Atomic spectrometry update: Industrial analysis: metals, chemicals and advanced materials. Journal of Analyti-cal Atomic Spectrometry, 2010. 25(12):1808-1858. doi:10. 1039/C005533F.
14. Cash, M. , Habetler, T. , and Kliman, G. Insulation failure prediction in ac machines using line-neutral voltages. IEEE Transactions on Industry Applications, 1998. 34(6):1234-1239. doi:10. 1109/28. 738983. (Pubitemid 128744730)
15. Choux, M. , Tyapin, I. , and Hovland, G. Leakagedetection in blade pitch control systems for wind turbines. In Proc. the Annual Reliability and Main-tainability Symposium. pages 1-7, Jan. 23-26, 2012, Nevada.
16. Dempsey, P. A comparison of vibration and oil debris gear damage detection methods applied to pitting damage. Wear, 2000.
17. Dempsey, P. Gear damage detection using oil debris analysis. Wear, 2001.
18. Ebersbach, S. , Peng, Z. , and Kessissoglou, N. The investigation of the condition and faults of a spur gearbox using vibration and wear debris analysis techniques. Wear, 2006. 260(1-2):16-24. doi:10. 1016/j. wear. 2004. 12. 028.
19. Edmonds, J. , Resner, M. , and Shkarlet, K. Detection of precursor wear debris in lubrication systems. In 2000 IEEE Aerospace Conference Proceedings, volume 6. pages 73-78, 2000. doi:10. 1109/AERO. 2000. 877884. (Pubitemid 32838028)
20. Ellingssen, H. , Liyanage, J. , and Rusa, R. Smart integrated operations and maintenance solutions to manage o shore assets in north sea. In Proceedings of the 18th EuroMaintenace. MM Support GmbH, pages 319-324, 2006.
21. FAG. Rolling Bearings and their Contribution to the Progress of Technology. FAG Kugelscher Georg Schafer KGaA, 1986.
22. Flandrin, P. Time-Frequency/Time-Scale Analysis. Academic Press, 1999.
23. Foster, K. Rolling bearings as crime scenes. Pumps & Systems Magazine, 2009. 3.
24. Gao, J. , Zhang, P. , Liu, B. , and Xie, Z. An integrated fault diagnosis method of gearboxes using oil analysis and vibration analysis. In 8th In-ternational Conference on Electronic Measurement and Instruments ICEMI '07. pages 371-374, 2007. doi:10. 1109/ICEMI. 2007. 4350932.
25. Gao, Z. , Habetler, T. , Harley, R. , and Colby, R. A sensorless adaptive stator winding temperature estimator for mains-fed induction machines with continuous-operation periodic duty cycles. IEEE Transactions on Industry Applications, 2008. 44(5):1533-1542. doi:10. 1109/TIA. 2008. 2002208.
26. Garnero, M.-A. , Beaudouin, F. , and Delbos, J.-P. Optimization of bearing-inspection intervals. In Proc. Reliability and Maintainability Symposium. pages 332-338, 1998. doi:10. 1109/RAMS. 1998. 653801.
27. Gentile, G. , Meo, S. , and Ometto, A. Induction motor current signature analysis to diagnostics, of stator short circuits. In 4th IEEE In-ternational Symposium on Diagnostics for Elec-tric Machines, Power Electronics and Drives (SDEMPED) 2003, volume 2. pages 47-51, 2003. doi:10. 1109/DEMPED. 2003. 1234545.
28. Grubic, S. , Aller, J. , Lu, B. , and Habetler, T. Survey of testing and monitoring methods for stator insulation systems in induction machines. Proc. of 2008 Intl. Conf. on Condition Moni-toring and Diagnostics, 2008. pages 196-203. doi:10. 1109/CMD. 2008. 4580262.
29. Guo, Y. and Parker, R. Dynamic modeling and analysis of a spur planetary gear involving tooth wedging and bearing clearance nonlinearity. European Journal of Mechanics A/Solids, 2010. 29(6):1-12 (In Press). doi:10. 1016/j. euromechsol. 2010. 05. 001.
30. Gupta, A. and Lawsirirat, C. Strategically optimum maintenance of monitoring-enabled multicomponent systems using continuous-time jump deterioration models. Journal of Quality in Maintenance Engineering, 2006. 12(3):306-329. doi:10. 1108/13552510610685138. (Pubitemid 44200064)
31. Hansen, A. , Rasmussen, F. , and Larsen, T. Gearbox loads caused by double contact simulated with hawc2. In European Wind Energy Conference and Exhibition, Poland. 2010.
32. Holst, B. and Nystad, E. Oil & gas o shore/onshore integrated operations-introducing the brage 2010+ project. In 2007 IEEE 8th HFPP and HPRCT 13th Annual Meeting. pages 357-359, 2007. doi:10. 1109/HFPP. 2007. 4413233.
33. J. Geiman, B. I. C. Dc step-voltage and surge testing of motors. Maintenance Technology magazine, 2007. 3:1-7. URL http://www. mt-online.com.
34. Jardine, A. , Lin, D. , and Banjevic, D. A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Sys-tems and Signal Processing, 2006. 20(7):1483-1510. doi:10. 1016/j. ymssp. 2005. 09. 012.
35. Jessop, S. and Cook, T. A model-based mission planning and decision support tool. In Proceedings of the ASME Turbo Expo, volume 4. pages 991-999, 2009. doi:10. 1115/GT2009-60215.
36. Jones, B. , I. Jenkinson, Z. Yang, and J. Wang. The use of bayesian network modelling for maintenance planning in a manufacturing industry. Reliability En-gineering and System Safety, 2010. 95(3):267-277. doi:10. 1016/j. ress. 2009. 10. 007.
37. Junsheng, C. , Dejie, Y. , and Yu, Y. Timeenergy density analysis based on wavelet transforms. NDT and E International, 2005. 38(7):569-572. doi:10. 1016/j. ndteint. 2005. 02. 002. (Pubitemid 40908786)
38. Kar, C. and Mohanty, A. Vibration and current transient monitoring for gearbox fault detection using multiresolution fourier transform. Journal of Sound and Vibration, 2008. 311(1-2):109-132. doi:10. 1016/j. jsv. 2007. 08. 023.
39. Kawazoe, T. and Ura, A. Corrosive wear testing of metals in seawater. In ASTM Special Technical Pub-lication, 1404. pages 296-305, 2001. (Pubitemid 34923719)
40. Kim, H. and Ju, Y. Comparison of o-line and online partial discharge for large motors. In Confer-ence Record of the 2002 IEEE International Sym-posium on Electrical Insulation. pages 27-30, 2002. doi:10. 1109/ELINSL. 2002. 995873. (Pubitemid 34658443)
41. Kothamasu, R. , Huang, S. , and Verduin, W. System health monitoring and prognostics-A review of current paradigms and practices. International Jour-nal of Advanced Manufacturing Technology, 2006. 28(9):1012-1024. doi:10. 1007/s00170-004-2131-6.
42. Landolt, D. Electrochemical and materials aspects of tribocorrosion systems. Journal of Physics D: Applied Physics, 2006. 39(15):3121-3127. doi:10. 1088/0022-3727/39/15/S01. (Pubitemid 44121210)
43. Landolt, D. Corrosion and Surface Chemistry of Met-als, chapter 6: Passivity of Metals, pages 227-274. EPFL Press, 2007.
44. Larsen, T. , Thomsen, K. , and Rasmussen, F. Dynamics of a wind turbine planetary gear stage. Techni-cal Report Risoe-I-2112, Risoe National Laboratory, Denmark. , 2003.
45. Lee, S. , Habetler, T. , Harley, R. , and Gritter, D. An evaluation of model-based stator resistance estimation for induction motor stator winding temperature monitoring. IEEE Transactions on Energy Conver-sion, 2002. 17(1):7-15. doi:10. 1109/60. 986431. (Pubitemid 34404504)
46. Lee, S. , Tallam, R. , and Habetler, T. A robust, on-line turn fault detection technique for induction machines based on monitoring the sequence component impedance matrix. IEEE Transac-tions on Power Electronics, 2003. 18(3):865-872. doi:10. 1109/TPEL. 2003. 810848.
47. Lee, S. , Yang, J. , Younsi, K. , and Bharadwaj, R. An online groundwall and phase-to-phase insulation quality assessment technique for acmachine stator windings. IEEE Transactions on Industry Applications, 2006. 42(4):946-957. doi:10. 1109/TIA. 2006. 876077. (Pubitemid 44111472)
48. Lin, J. and Parker, R. Analytical characterization of the unique properties of planetary gear free vibration. Journal of Vibration and Acoustics, 1999. 121(3):319-321. doi:10. 1115/1. 2893982.
49. Lin, J. and Parker, R. Planetary gear parametric instability caused by mesh stiness variation. Jour-nal of Sound and Vibration, 2002. 249(1):129-145. doi:10. 1006/jsvi. 2001. 3848. (Pubitemid 34090263)
50. Lin, J. , Zuo, M. , and Fyfe, K. Mechanical fault detection based on the wavelet de-noising technique. Journal of Vibration and Acoustics, 2004. 126(2):9{ 16. doi:10. 1016/j. ymssp. 2004. 06. 001.
51. Lin, Y. , Hsu, A. , and Rajamani, R. A simulation model for field service with condition-based maintenance. In Proceedings of the 2002 Winter Simulation Con-ference, volume 2. pages 1885-1890, 2002.
52. Liyanage, J. Complex System Maintenance Handbook, chapter 24: Integrated e-Operations-e-Maintenance: Applications in North Sea Oshore Assets, pages 585-609. Springer Series in Reliability Engineering, 2008. doi:10. 1007/978-1-84800-011-7 24.
53. Loutridis, S. Instantaneous energy density as a feature for gear fault detection. Mechanical Sys-tems and Signal Processing, 2006. 20(5):1239-1253. doi:10. 1016/j. ymssp. 2004. 12. 001.
54. Lu, B. , Habetler, T. , and Harley, R. A survey of efficiency estimation methods of inservice induction motors. IEEE Transactions on Industry Applications, 2006. 42(4):924-933. doi:10. 1109/TIA. 2006. 876065. (Pubitemid 44111470)
55. Mendel, E. , Rauber, T. , ao, F. V. , and Batista, R. Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs. In Proceedings of 17th European Signal Processing Conference (EUSIPCO 2009). Glasgow, Scotland, pages 319-324, 2009.
56. Mischler, S. and Ponthiaux, P. A round robin on combined electrochemical and friction tests on alumina/stainless steel contacts in sulphuric acid. Wear, 2001. 248(1-2):211-225. doi:10. 1016/S0043-1648(00)00559-7. (Pubitemid 32243038)
57. Mobius. Vibration Training Course Book - Category II, chapter 14: Diagnosing Misalignment. Mobius Institute, 2008.
58. Murali, S. , Xia, X. , Jagtiani, A. , Carletta, J. , and Zhe, J. A micro fluidic device for wear detection in lubricants. In ASME Conf. Proc. , ASME 2008 Interna-tional Mechanical Engineering Congress and Exposi-tion (IMECE2008), volume 13. pages 859-863, 2008. doi:10. 1115/IMECE2008-66768.
59. Musial, W. , Buttereld, S. , and McNica, B. Improving wind turbine gearbox reliability. In Proceedings of 2007 European Wind Energy Conference. pages 1-10, 2007.
60. Myshkin, N. , Markova, L. , Semenyuk, M. , Kong, H. , Han, H. , and Yoon, E. Wear monitoring based on the analysis of lubricant contamination by optical ferroanalyzer. Wear, 2003. 255(7-12):1270-1275. doi:10. 1016/S0043-1648(03) 00175-3. (Pubitemid 36990850)
61. Nandi, S. , Toliyat, H. , and Li, X. Condition monitoring and fault diagnosis of electrical motors-a review. IEEE Trans. Energy Convers. , 2005. 20(4):719-729. doi:10. 1109/TEC. 2005. 847955. (Pubitemid 41830047)
62. NEMA. NEMA MG 1-Motors and Genera-tors. National Electrical Manufacturers Association (NEMA), 2010.
63. Norton, R. Machine Design-An Integrated Approach, 3rd ed. Pearson-Prentice Hall, 2006.
64. von der Ohe, C. , Johnsen, R. , and Espallargas, N. Modeling the multi-degradation mechanisms of combined tribocorrosion interacting with static and cyclic loaded surfaces of passive metals exposed to seawater. Wear, 2010. 269(7-8):607-616. doi:10. 1016/j. wear. 2010. 06. 010.
65. OLF. Potential value of integrated operations on the norwegian shelf. Technical report, The Norwegian Oil Industry Association (OLF), 2006.
66. Palin-Luc, T. , Perez-Mora, R. , Bathias, C. , Dominguez, G. , Paris, P. , and Arana, J. Fatigue crack initiation and growth on a steel in the very high cycle regime with sea water corrosion. Engineering Fracture Mechanics, 2010. 77(11):1953-1962. doi:10. 1016/j. engfracmech. 2010. 02. 015.
67. Peng, Z. and Chu, F. Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography. Mechanical Systems and Signal Processing, 2004. 18(2):199-221. doi:10. 1016/S0888-3270(03)00075-X.
68. Peng, Z. and Kessissoglou, N. An integrated approach to fault diagnosis of machinery using wear debris and vibration analysis. Wear, 2003. 255(7-12):1221-1232. doi:10. 1016/S0043-1648(03)00098-X. (Pubitemid 36990846)
69. Peng, Z. , Kessissoglou, N. , and Cox, M. A study of the effect of contaminant particles in lubricants using wear debris and vibration condition monitoring techniques. Wear, 2005. 258(11-12):1651-1662. doi:10. 1016/j. wear. 2004. 11. 020.
70. Piotrowski, J. Shaft Alignment Handbook. Taylor & Francis, 2007.
71. Raadnui, S. and Kleesuwan, S. Low cost condition monitoring sensor for used oil analysis. Wear, 2005. 259(7-12):1502-1506. doi:10. 1016/j. wear. 2004. 11. 009.
72. Rasmussen, F. , Thomsen, K. , and Larsen, T. The gearbox problem revisited. Fact Sheet AED-RB-17 (EN). Risoe National Laboratory, Denmark. , 2004.
73. Reichard, K. , Dyke, M. V. , and Maynard, K. Application of sensor fusion and signal classiffication techniques in a distributed machinery condition monitoring system. In Proceedings of SPIE-The Interna-tional Society for Optical Engineering, volume 4051. Orlando, FL, USA, pages 329-336, 2000.
74. Ribrant, J. and Bertling, L. Survey of failures in wind power systems with focus on swedish wind power plants during 1997-2005. IEEE Transac-tions on Energy Conversion, 2007. 22(1):167-173. doi:10. 1109/TEC. 2006. 889614. (Pubitemid 46487489)
75. Riera-Guasp, M. , Antonino-Daviu, J. , Roger-Folch, J. , and Palomares, M. The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures. IEEE Trans. Ind. Appl. , 2008. 44(3):716-726. doi:10. 1109/TIA. 2008. 921432. (Pubitemid 351796118)
76. Rigdon, S. and Basu, A. Statistical Methods for the Reliability of Repairable Systems. Wiley, 2000.
77. Rodriguez, L. , Garcia, E. , Morant, F. , Correcher, A. , and Quiles, E. Application of latent nestling method using colored petri nets for the fault diagnosis in the wind turbine subsets. In Proc. 2008 IEEE Int. Conf. Emerging Technolo-gies and Factory Automation. pages 767-773, 2008. doi:10. 1109/ETFA. 2008. 4638486.
78. Roylance, B. , Williams, J. , and Dwyer-Joyce, R. Wear debris and associated wear phenomena-fundamental research and practice. In Proceedings of the Institu-tion of Mechanical Engineers, Part J: Journal of En-gineering Tribology, volume 214. pages 79-105, 2000. doi:10. 1243/1350650001543025.
79. Saranga, H. Opportunistic maintenance using genetic algorithms. Journal of Quality in Maintenance Engineering, 2004. 10(1):66-74. doi:10. 1108/13552510410526884.
80. Sasaki, K. and Bursteina, G. Observation of a threshold impact energy required to cause passive lm rupture during slurry erosion of stainless steel. Philo-sophical Magazine Letters, 2000. 80(7):489-493. doi:10. 1080/09500830050057198. (Pubitemid 34593895)
81. Siddique, A. , Yadava, G. , and B. Singh. A review of stator fault monitoring techniques of induction motors. IEEE Transactions on Energy Conversion, 2005. 20(1):106-114. doi:10. 1109/TEC. 2004. 837304. (Pubitemid 40377529)
82. Spinato, F. , Tavner, P. , van Bussel, G. , and Koutoulakos, E. Reliability of wind turbine subassemblies. IET Renewable Power Generation, 2009. 3(4):387-401. doi:10. 1049/iet-rpg. 2008. 0060.
83. SrinivasaPai, P. , Mathew, M. , Stack, M. , and Rocha, L. Some thoughts on neural network modelling of microabrasion-corrosion processes. Tribology International, 2008. 41(7):672-681. doi:10. 1016/j. triboint. 2007. 11. 015.
84. Stenvaag, S. , Lindrupsen, T. , Bye, R. , and Sters, T. Integrated operations-a key enabler to operational excellence in maintenance management of fpsos. In SPE-Intelligent Energy Conference and Exhibition: Intelligent Energy 2008, volume 2. Society of Petroleum Engineers, pages 939-951, 2008. doi:10. 2118/112227-MS.
85. Stone, G. Advancements during the past quarter century in on-line monitoring of motor and generator winding insulation. IEEE Transactions on Di-electrics and Electrical Insulation, 2002. 9(5):746-751. doi:10. 1109/TDEI. 2002. 1038661. (Pubitemid 35458111)
86. Stone, G. Recent important changes in ieee motor and generator winding insulation diagnostic testing standards. IEEE Transactions on Industry Applications, 2005. 41(1):91-100. doi:10. 1109/TIA. 2004. 840977. (Pubitemid 40241995)
87. Stone, G. , Boulter, E. , Culbert, I. , and Dhirani, H. Electrical insulation for rotating machines: Design, Evaluation, Aging, Testing, and Repair. Wiley-Interscience, IEEE Press-Series on Power Engineering, 2004.
88. Stone, G. and Kapler, J. Stator winding monitoring. IEEE Industry Applications Magazine, 1998. 4(5):15-20. doi:10. 1109/2943. 715501. (Pubitemid 128580420)
89. Tallam, R. , Habetler, T. , and Harley, R. Transient model for induction machines with stator winding turn faults. IEEE Transactions on Industry Applications, 2002. 38(3):632-637. doi:10. 1109/TIA. 2002. 1003411. (Pubitemid 34750432)
90. Tan, C. , Irving, P. , and Mba, D. Diagnostics and prognostics with acoustic emission, vibration and spectrometric oil analysis for spur gears-a comparative study. Insight-Non-Destructive Testing and Condition Monitoring, 2005. 47(8):478-480. doi:10. 1784/insi. 2005. 47. 8. 478. (Pubitemid 41131999)
91. Tang, B. , Liu, W. , and Song, T. Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution. Renewable Energy, 2010. 35(12):2862-2866. doi:10. 1016/j. renene. 2010. 05. 012.
92. Tavner, P. , van Bussel, G. , and Spinato, F. Machine and converter reliabilities in wind turbines. In Proceedings of 3rd International IEEE Conference-Power Electronics Machines and Drives. pages 127-130, 2006.
93. Tavner, P. , Xiang, J. , and Spinato, F. Reliability analysis for wind turbines. Wind Energy, 2007. 10(1):1-18. doi:10. 1002/we. 204. (Pubitemid 46192104)
94. Thomson, W. and Fenger, M. Current signature analysis to detect induction motor faults. IEEE In-dustry Applications Magazine, 2001. 7(4):26-34. doi:10. 1109/2943. 930988. (Pubitemid 32658373)
95. Thorsen, O. and Dalva, M. A survey of faults on induction motors in oshore oil industry, petrochemical industry, gas terminals, and oil reneries. IEEE Trans. Ind. Appl. , 1995. 31(5):1186-1196. doi:10. 1109/28. 464536.
96. Troyer, D. and Williamson, M. Effective integration of vibration analysis and oil analysis. In Proceedings of the International Conference on Condition Monitor-ing. pages 411-420, 1999.
97. Trutt, F. , Sottile, J. , and Kohler, J. Condition monitoring of induction motor stator windings using electrically excited vibrations. In Conference Record of the Industry Applications Conference, 2002, 37th IAS Annual Meeting, volume 4. pages 2301-2305, 2002. doi:10. 1109/IAS. 2002. 1042767. (Pubitemid 35413729)
98. Tyapin, I. , Hovland, G. , and Jorde, J. Comparison of markov theory and monte carlo simulations for analysis of marine operations related to installation of an oshore wind turbine. In Proc. of COMADEM 2011, Stavanger, Norway. pages 1071-1081, 2011.
99. Utne, I. , Brurok, T. , and Rdseth, H. A structured approach to improved condition monitoring. Journal of Loss Prevention in the Process Industries, 2012. 25(3):478-488. doi:10. 1016/j. jlp. 2011. 12. 004.
100. Wang, H. A survey of maintenance policies of deteriorating systems. European Journal of Operational Research, 2004. 139(3):469-489. doi:10. 1016/S0377-2217(01)00197-7.
101. Watson, S. , Xiang, B. , Yang, W. , Tavner, P. , and Crabtree, C. Condition monitoring of the power output of wind turbine generators using wavelets. IEEE Trans-actions on Energy Conversion, 2010. 25(3):715-721. doi:10. 1109/TEC. 2010. 2040083.
102. Werynski, P. , Roger, D. , Corton, R. , and Brudny, J. Proposition of a new method for in-service monitoring of the aging of stator winding insulation in ac motors. IEEE Transactions on Energy Conversion, 2006. 21(3):673-681. doi:10. 1109/TEC. 2006. 875465. (Pubitemid 46445156)
103. Wiedenbrug, E. , Frey, G. , and Wilson, J. Impulse testing and turn insulation deterioration in electric motors. In Proceedings of the IEEE Pulp and Paper Industry Technical Conference 2003. pages 50-55, 2003. doi:10. 1109/PAPCON. 2003. 1216899.
104. Wiggelinkhuizen, E. , Verbruggen, T. , Braam, H. , Rademakers, L. , Xiang, J. P. , and Watson, S. Assessment of condition monitoring techniques for oshore wind farms. J. Solar Energy Eng.-Trans. ASME, 2008. 130(3):031004 (9 pages). doi:10. 1115/1. 2931512.
105. Wood, R. , Bahaj, A. , Turnock, S. , Wang, L. , and Evans, M. Tribological design constraints of marine renewable energy systems. Philosophical Transac-tions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010. 368(1929):4807-4827. doi:10. 1098/rsta. 2010. 0192.
106. Wright, J. Lubricating electric motors. Machinery Lu-brication Magazine, 2008.
107. Yang, W. and Ren, X. Detecting impulses in mechanical signals by wavelets. EURASIP Journal on Applied Signal Processing, 2004. 2004(8):1156-1162. doi:10. 1155/S1110865704311091.
108. Zhang, J. and Drinkwater, B. Monitoring of lubricant lm failure in a ball bearing using ultrasound. Journal of Tribology, 2006. 128(3):612-618. doi:10. 1115/1. 2197848. (Pubitemid 44348490)
109. Zhang, Z. , Ren, Z. , and Huang, W. A novel detection method of motor broken rotor bars based on wavelet ridge. IEEE Trans. Energy Convers. , 2003. 18(3):417-423. doi:10. 1109/TEC. 2003. 815851.
110. Zipp, K. Intelligent vibration monitoring for wind plants. Windpower Engineering, 2010.