-
1
-
-
33646534620
-
A review on machinery diagnostics and prognostics implementing condition-based maintenance
-
Jardine A.K.S., Lin D., and Banjevic D. A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20 (2006) 1483-1510
-
(2006)
Mech Syst Signal Process
, vol.20
, pp. 1483-1510
-
-
Jardine, A.K.S.1
Lin, D.2
Banjevic, D.3
-
2
-
-
1942453835
-
Mechanical and propulsion systems prognostics: US navy strategy and demonstration
-
Hardman W. Mechanical and propulsion systems prognostics: US navy strategy and demonstration. JOM 56 3 (2004) 21-27
-
(2004)
JOM
, vol.56
, Issue.3
, pp. 21-27
-
-
Hardman, W.1
-
3
-
-
0032598574
-
-
Hardman W, Hess A, Sheaffer J. SH-60 helicopter integrated diagnostic system (HIDS) program-diagnostic and prognostic development experience. In: Proceedings of the IEEE aerospace conference, Aspen, CO, USA, March 6-13, 1999. p. 473.
-
Hardman W, Hess A, Sheaffer J. SH-60 helicopter integrated diagnostic system (HIDS) program-diagnostic and prognostic development experience. In: Proceedings of the IEEE aerospace conference, Aspen, CO, USA, March 6-13, 1999. p. 473.
-
-
-
-
4
-
-
0942289503
-
Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
-
Samanta B. Gear fault detection using artificial neural networks and support vector machines with genetic algorithms. Mech Syst Signal Process 18 (2004) 625-644
-
(2004)
Mech Syst Signal Process
, vol.18
, pp. 625-644
-
-
Samanta, B.1
-
5
-
-
0032643704
-
Prediction of machine deterioration using vibration based fault trends and recurrent neural networks
-
Tse P., and Atherton D. Prediction of machine deterioration using vibration based fault trends and recurrent neural networks. J Vib Acoust 121 (1999) 355-362
-
(1999)
J Vib Acoust
, vol.121
, pp. 355-362
-
-
Tse, P.1
Atherton, D.2
-
6
-
-
50349085131
-
-
Zakrajsek J, Townshed D, Lewicki D, Decker H, Handschuh R. Transmission diagnostic research at NASA Langley Research Center. IMechE conference transactions, 2nd international conference on gearbox noise, vibration and diagnostics, London, UK, 1995. p. 1.
-
Zakrajsek J, Townshed D, Lewicki D, Decker H, Handschuh R. Transmission diagnostic research at NASA Langley Research Center. IMechE conference transactions, 2nd international conference on gearbox noise, vibration and diagnostics, London, UK, 1995. p. 1.
-
-
-
-
7
-
-
2442503629
-
Prognosis of machine health condition using neuro-fuzzy systems
-
Wang W.Q., Golnaraghi M.F., and Ismail F. Prognosis of machine health condition using neuro-fuzzy systems. Mech Syst Signal Process 18 (2004) 813-831
-
(2004)
Mech Syst Signal Process
, vol.18
, pp. 813-831
-
-
Wang, W.Q.1
Golnaraghi, M.F.2
Ismail, F.3
-
9
-
-
33750515020
-
An adaptive predictor for dynamic system forecasting
-
Wang W. An adaptive predictor for dynamic system forecasting. Mech Syst Signal Process 21 (2007) 809-823
-
(2007)
Mech Syst Signal Process
, vol.21
, pp. 809-823
-
-
Wang, W.1
-
11
-
-
33745952342
-
25 years of time series forecasting
-
De Gooijer J.G., and Hyndman R.J. 25 years of time series forecasting. Int J Forecast 22 (2006) 443-473
-
(2006)
Int J Forecast
, vol.22
, pp. 443-473
-
-
De Gooijer, J.G.1
Hyndman, R.J.2
-
12
-
-
0036554877
-
A dynamical systems approach to damage evolution tracking, part 1: description and experimental application
-
Chelidze D., Cusumano J.P., and Chattterjee A. A dynamical systems approach to damage evolution tracking, part 1: description and experimental application. Trans ASME, J Vib Acoust 124 (2002) 250-257
-
(2002)
Trans ASME, J Vib Acoust
, vol.124
, pp. 250-257
-
-
Chelidze, D.1
Cusumano, J.P.2
Chattterjee, A.3
-
13
-
-
0036554994
-
A dynamical systems approach to damage evolution tracking, part 2: model-based validation and interpretation
-
Cusumano J.P., Chelidze D., and Chattterjee A. A dynamical systems approach to damage evolution tracking, part 2: model-based validation and interpretation. Trans ASME, J Vib Acoust 124 (2002) 258-264
-
(2002)
Trans ASME, J Vib Acoust
, vol.124
, pp. 258-264
-
-
Cusumano, J.P.1
Chelidze, D.2
Chattterjee, A.3
-
14
-
-
50349083352
-
-
Schwabacher MA. A survey of data-driven prognostics. Infotech@Aerospace, Arlington, VA, Paper {music sharp sign} AIAA 2005-7002, 2005. p. 1.
-
Schwabacher MA. A survey of data-driven prognostics. Infotech@Aerospace, Arlington, VA, Paper {music sharp sign} AIAA 2005-7002, 2005. p. 1.
-
-
-
-
15
-
-
1942453855
-
Predicting remaining life by fusing the physics of failure modeling with diagnostics
-
Kacpryznski G.J., Sarlashkar A., Roemer M.J., Hess A., and Hardman W. Predicting remaining life by fusing the physics of failure modeling with diagnostics. JOM 56 3 (2004) 29-35
-
(2004)
JOM
, vol.56
, Issue.3
, pp. 29-35
-
-
Kacpryznski, G.J.1
Sarlashkar, A.2
Roemer, M.J.3
Hess, A.4
Hardman, W.5
-
16
-
-
17644398210
-
Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics
-
Li C., and Lee H. Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics. Mech Syst Signal Process 9 (2005) 836-846
-
(2005)
Mech Syst Signal Process
, vol.9
, pp. 836-846
-
-
Li, C.1
Lee, H.2
-
17
-
-
0027601884
-
ANFIS: adaptive-network-based fuzzy inference system
-
Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst, Man Cybernet 23 (1993) 665-685
-
(1993)
IEEE Trans Syst, Man Cybernet
, vol.23
, pp. 665-685
-
-
Jang, J.S.R.1
-
18
-
-
0003753097
-
-
Prentice Hall, Englewood Cliff, NJ
-
Jang J., Sun E., and Mizutani E. Neuro-fuzzy and soft computing (1997), Prentice Hall, Englewood Cliff, NJ
-
(1997)
Neuro-fuzzy and soft computing
-
-
Jang, J.1
Sun, E.2
Mizutani, E.3
-
19
-
-
0032594959
-
An overview of statistical learning theory
-
Vapnik V.N. An overview of statistical learning theory. IEEE Trans Neural Networks 10 (1999) 988-1000
-
(1999)
IEEE Trans Neural Networks
, vol.10
, pp. 988-1000
-
-
Vapnik, V.N.1
-
20
-
-
50349094610
-
-
Gunn SR. Support vector machines for classification and regression, Technical report, Department of Electrical and Computer Science, University of Southampton, 1998.
-
Gunn SR. Support vector machines for classification and regression, Technical report, Department of Electrical and Computer Science, University of Southampton, 1998.
-
-
-
-
21
-
-
4043137356
-
A tutorial on support vector regression
-
Smola A.J., and Schölkopf B. A tutorial on support vector regression. Statist Comput 14 (2004) 199-222
-
(2004)
Statist Comput
, vol.14
, pp. 199-222
-
-
Smola, A.J.1
Schölkopf, B.2
-
22
-
-
0142184418
-
Using support vector machines for time series prediction
-
Thissen U., van Brakel R., de Weijer A.P., Melssen W.J., and Buydens L.M.C. Using support vector machines for time series prediction. Chemometrics Intell Lab Syst 69 (2003) 35-49
-
(2003)
Chemometrics Intell Lab Syst
, vol.69
, pp. 35-49
-
-
Thissen, U.1
van Brakel, R.2
de Weijer, A.P.3
Melssen, W.J.4
Buydens, L.M.C.5
-
23
-
-
50349093525
-
-
Samanta B, Nataraj C. Machinery prognostics using soft computing. In: Proceedings of the 17th international conference on flexible automation and intelligent manufacturing (FAIM2007), Penn State Great Valley, Philadelphia, June 18-20, 2007. p. 965.
-
Samanta B, Nataraj C. Machinery prognostics using soft computing. In: Proceedings of the 17th international conference on flexible automation and intelligent manufacturing (FAIM2007), Penn State Great Valley, Philadelphia, June 18-20, 2007. p. 965.
-
-
-
-
24
-
-
50349099077
-
-
RWC Belgium World Data Center, Online sunspot data archive, SIDC 〈http://sidc.oma.be/index.php3〉.
-
RWC Belgium World Data Center, Online sunspot data archive, SIDC 〈http://sidc.oma.be/index.php3〉.
-
-
-
-
25
-
-
0016355478
-
A new look at the statistical model identification
-
Akaike H. A new look at the statistical model identification. IEEE Trans Automat Control 17 (1974) 716-723
-
(1974)
IEEE Trans Automat Control
, vol.17
, pp. 716-723
-
-
Akaike, H.1
|