24.1.6 Motor Faults, Engine Faults, Electrical Faults, Vibrations, Vehicles

Chapter Contents (Back)
Faults.

Pau, L.F.,
Applications of pattern recognition to the diagnosis of equipment failures,
PR(6), No. 1, June 1974, pp. 3-11.
Elsevier DOI 0309
BibRef

Pau, L.F.,
An adaptive signal classification procedure. Application to aircraft engine condition monitoring,
PR(9), No. 3, October 1977, pp. 121-130.
Elsevier DOI 0309
BibRef

Braun, S.,
Signal analysis for rotating machinery vibrations,
PR(7), No. 1-2, June 1975, pp. 81-86.
Elsevier DOI 0309
BibRef

Varghese, K.C., Williams, J.H.[J. Hywel], Towill, D.R.,
Computer aided feature selection for enhanced analogue system fault location,
PR(10), No. 4, 1978, pp. 265-280.
Elsevier DOI 0309
BibRef

Subramanian, S.C., Darbha, S., Rajagopal, K.R.,
A Diagnostic System for Air Brakes in Commercial Vehicles,
ITS(7), No. 3, September 2006, pp. 360-376.
IEEE DOI 0609
BibRef

Johannesson, L., Asbogard, M., Egardt, B.,
Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,
ITS(8), No. 1, March 2007, pp. 71-83.
IEEE DOI 0703
BibRef

Wu, Z., Wu, Q., Cheng, H., Pan, G., Zhao, M., Sun, J.,
ScudWare: A Semantic and Adaptive Middleware Platform for Smart Vehicle Space,
ITS(8), No. 1, March 2007, pp. 121-132.
IEEE DOI 0703
BibRef

Cao, J.T.[Jiang-Tao], Li, P.[Ping], Liu, H.H.[Hong-Hai],
An Interval Fuzzy Controller for Vehicle Active Suspension Systems,
ITS(11), No. 4, December 2010, pp. 885-895.
IEEE DOI 1101
BibRef

Panzani, G., Corno, M., Tanelli, M., Zappavigna, A., Savaresi, S.M., Fortina, A., Campo, S.,
Designing On-Demand Four-Wheel-Drive Vehicles via Active Control of the Central Transfer Case,
ITS(11), No. 4, December 2010, pp. 931-941.
IEEE DOI 1101
BibRef

Mariscotti, A.,
Induced Voltage Calculation in Electric Traction Systems: Simplified Methods, Screening Factors, and Accuracy,
ITS(12), No. 1, March 2011, pp. 201-210.
IEEE DOI 1103
BibRef

Martins, J.F.[Joao F.], Pires, V.F.[Vitor F.], Amaral, T.[Tito],
Induction motor fault detection and diagnosis using a current state space pattern recognition,
PRL(32), No. 2, 15 January 2011, pp. 321-328.
Elsevier DOI 1101
Fault diagnosis; Induction motor; Stator currents; Current patterns; Features extraction BibRef

Ning, H., Xu, W., Zhou, Y., Gong, Y., Huang, T.S.,
A General Framework to Detect Unsafe System States From Multisensor Data Stream,
ITS(11), No. 1, March 2010, pp. 4-15.
IEEE DOI 1003
BibRef

McBain, J.[Jordan], Timusk, M.[Markus],
Feature extraction for novelty detection as applied to fault detection in machinery,
PRL(32), No. 7, 1 May 2011, pp. 1054-1061.
Elsevier DOI 1101
Novelty detection; One class classification; Feature selection; Feature reduction BibRef

Daou, R.A.Z.[Roy Abi Zeid], Moreau, X.[Xavier], Francis, C.[Clovis],
Study of the effects of structural uncertainties on a fractional system of the first kind: application in vibration isolation with the CRONE suspension,
SIViP(6), No. 3, September 2012, pp. 463-478.
WWW Link. 1209
BibRef

Anami, B.S., Pagi, V.B., Magi, S.M.,
Comparative performance analysis of three classifiers for acoustic signal-based recognition of motorcycles using time- and frequency-domain features,
IET-ITS(6), No. 2, 2012, pp. 235-242.
DOI Link 1209
BibRef

Mehmood, A.[Asif], Damarla, T.[Thyagaraju], Sabatier, J.[James],
Separation of human and animal seismic signatures using non-negative matrix factorization,
PRL(33), No. 16, 1 December 2012, pp. 2085-2093.
Elsevier DOI 1210
Non negative matrix factorization; Dimensionality reduction; Sparsity; Single channel source separation; Spectrogram BibRef

Sun, M.[Ming], Demirtas, S., Sahinoglu, Z.,
Joint Voltage and Phase Unbalance Detector for Three Phase Power Systems,
SPLetters(20), No. 1, January 2013, pp. 11-14.
IEEE DOI 1212
BibRef

Nehaoua, L., Djemai, M., Pudlo, P.,
Virtual Prototyping of an Electric Power Steering Simulator,
ITS(14), No. 1, March 2013, pp. 274-283.
IEEE DOI 1303
BibRef

Shahriar, M., Ahsan, T.[Tanveer], Chong, U.P.[Ui-Pil],
Fault diagnosis of induction motors utilizing local binary pattern-based texture analysis,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1306
BibRef

Hajj-Ahmad, A., Garg, R., Wu, M.[Min],
Spectrum Combining for ENF Signal Estimation,
SPLetters(20), No. 9, 2013, pp. 885-888.
IEEE DOI 1308
Power distribution networks. BibRef

Rudin, C.[Cynthia], Waltz, D.[David], Anderson, R.[Roger], Boulanger, A.[Albert], Salleb-Aouissi, A.[Ansaf], Chow, M.[Maggie], Dutta, H.[Haimonti], Gross, P.[Philip], Huang, B.[Bert], Ierome, S.[Steve],
Machine Learning for the New York City Power Grid,
PAMI(34), No. 2, February 2012, pp. 328-345.
IEEE DOI 1112
BibRef

Marmaroli, P., Carmona, M., Odobez, J.M., Falourd, X., Lissek, H.,
Observation of Vehicle Axles Through Pass-by Noise: A Strategy of Microphone Array Design,
ITS(14), No. 4, 2013, pp. 1654-1664.
IEEE DOI 1312
Acoustic signal processing BibRef

Anami, B.S., Pagi, V.B.,
Localisation of multiple faults in motorcycles based on the wavelet packet analysis of the produced sounds,
IET-ITS(7), No. 3, September 2013, pp. 296-304.
DOI Link 1402
approximation theory BibRef

Anami, B.S., Pagi, V.B.,
Acoustic signal based detection and localisation of faults in motorcycles,
IET-ITS(8), No. 4, June 2014, pp. 345-351.
DOI Link 1407
BibRef

Anami, B.S., Pagi, V.B.,
Acoustic signal-based approach for fault detection in motorcycles using chaincode of the pseudospectrum and dynamic time warping classifier,
IET-ITS(8), No. 1, February 2014, pp. 21-27.
DOI Link 1406
acoustic signal processing BibRef

Wang, R.R.[Rong-Rong], Wang, J.M.[Jun-Min],
Actuator-Redundancy-Based Fault Diagnosis for Four-Wheel Independently Actuated Electric Vehicles,
ITS(15), No. 1, February 2014, pp. 239-249.
IEEE DOI 1403
actuators BibRef

Henriquez, P., Alonso, J.B., Ferrer, M.A., Travieso, C.M.,
Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals,
SMCS(44), No. 5, May 2014, pp. 642-652.
IEEE DOI 1405
condition monitoring BibRef

Rajpathak, D.G., Singh, S.,
An Ontology-Based Text Mining Method to Develop D-Matrix From Unstructured Text,
SMCS(44), No. 7, July 2014, pp. 966-977.
IEEE DOI 1407
Data models BibRef

Bregon, A., Alonso-Gonzalez, C.J., Pulido, B.,
Integration of Simulation and State Observers for Online Fault Detection of Nonlinear Continuous Systems,
SMCS(44), No. 12, December 2014, pp. 1553-1568.
IEEE DOI 1412
fault diagnosis BibRef

Codetta-Raiteri, D., Portinale, L.,
Dynamic Bayesian Networks for Fault Detection, Identification, and Recovery in Autonomous Spacecraft,
SMCS(45), No. 1, January 2015, pp. 13-24.
IEEE DOI 1502
aerospace computing BibRef

Sipola, T.[Tuomo], Ristaniemi, T.[Tapani], Averbuch, A.[Amir],
Gear classification and fault detection using a diffusion map framework,
PRL(53), No. 1, 2015, pp. 53-61.
Elsevier DOI 1502
System health monitoring BibRef

Vasu, J.Z., Deb, A.K., Mukhopadhyay, S.,
MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster-Shafer Theory and Multiple Hypotheses Testing,
SMCS(45), No. 7, July 2015, pp. 977-989.
IEEE DOI 1506
Automotive engineering BibRef

Kwong, R.H., Yonge-Mallo, D.L.,
Fault Diagnosis in Discrete-Event Systems with Incomplete Models: Learnability and Diagnosability,
Cyber(45), No. 7, July 2015, pp. 1236-1249.
IEEE DOI 1506
Communities BibRef

Anarado, I., Andreopoulos, Y.,
Core Failure Mitigation in Integer Sum-of-Product Computations on Cloud Computing Systems,
MultMed(18), No. 4, April 2016, pp. 789-801.
IEEE DOI 1604
Cloud computing BibRef

Song, L., Chen, P., Wang, H., Kato, M.,
Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses,
SPLetters(23), No. 8, August 2016, pp. 1111-1115.
IEEE DOI 1608
acoustic signal processing BibRef

Lu, S., He, Q., Yuan, T., Kong, F.,
Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System,
SMCS(47), No. 7, July 2017, pp. 1111-1122.
IEEE DOI 1706
Brushless DC motors, Fault diagnosis, Induction motors, Permanent magnet motors, Signal to noise ratio, Acoustic signal processing, adaptive filters, ball bearings, brushless motors, dc motors, digital signal processing, embedded software, fault diagnosis, optimization methods, stochastic, resonance, (SR) BibRef

Vatansever, S.[Saffet], Dirik, A.E.[Ahmet Emir], Memon, N.[Nasir],
Detecting the Presence of ENF Signal in Digital Videos: A Superpixel-Based Approach,
SPLetters(24), No. 10, October 2017, pp. 1463-1467.
IEEE DOI 1710
Electrical network frequency. brightness, image forensics, video cameras, video signal processing, ENF signal presence detection method, BibRef


Jarmolowicz, M., Kornatowski, E.,
Method of vibroacoustic signal spectrum optimization in diagnostics of devices,
WSSIP17(1-5)
IEEE DOI 1707
Engines, Harmonic analysis, Optimization, Power transformers, Signal processing algorithms, Signal resolution, Vibrations, signal resampling, spectral resolution, vibroacoustic, diagnostics BibRef

Islam, M.R., Tushar, A.K., Kim, J.M.,
Efficient bearing fault diagnosis by extracting intrinsic fault information using envelope power spectrum,
IVPR17(1-5)
IEEE DOI 1704
Fault diagnosis BibRef

Bedoui, M., Mestiri, H., Bouallegue, B., Machhout, M.,
A reliable fault detection scheme for the AES hardware implementation,
ISIVC16(47-52)
IEEE DOI 1704
Algorithm design and analysis BibRef

López-Lopera, A.F.[Andrés F.], Álvarez, M.A.[Mauricio A.], Orozco, Á.Á.[Álvaro Á.],
Sparse Linear Models Applied to Power Quality Disturbance Classification,
CIARP16(521-529).
Springer DOI 1703
BibRef

Zhi-Feigao, Xie, Y.[Yuan], Xu, Y.B.[Yong-Bin], Wang, Y.H.[Yong-Hai],
Research of wind turbine gearbox vibration signal based on the wavelet analysis,
ICWAPR15(58-63)
IEEE DOI 1511
gears BibRef

Rodríguez, G.[Germán], Fuciños, M.[Maria], Pardo, X.M.[Xosé M.], Fdez-Vidal, X.R.[Xosé R.],
Videogrammetry System for Wind Turbine Vibration Monitoring,
IbPRIA15(505-513).
Springer DOI 1506
BibRef

Ridi, A.[Antonio], Gisler, C.[Christophe], Hennebert, J.[Jean],
A Survey on Intrusive Load Monitoring for Appliance Recognition,
ICPR14(3702-3707)
IEEE DOI 1412
Power grid monitoring. BibRef

Lv, Y.G.[Yue-Gang], Guan, N.[Ning], Liu, J.C.[Jun-Cheng], Cai, T.Q.[Teng-Qian],
The fault diagnosis of rolling bearing in gearbox of wind turbines based on second generation wavelet,
ICWAPR14(43-49)
IEEE DOI 1402
Fault diagnosis BibRef

He, W.P.[Wang-Peng], Zi, Y.Y.[Yan-Yang],
Sparsity-assisted signal representation for rotating machinery fault diagnosis using the tunable Q-factor wavelet transform with overlapping group shrinkage,
ICWAPR14(18-23)
IEEE DOI 1402
Fault diagnosis BibRef

Tacón, J.[Juan], Melgarejo, D.[Damián], Rodríguez, F.[Fernanda], Lecumberry, F.[Federico], Fernández, A.[Alicia],
Semisupervised Approach to Non Technical Losses Detection,
CIARP14(698-705).
Springer DOI 1411
electrical losses detection. BibRef

Carbajal-Hernández, J.J.[José Juan], Sánchez-Fernández, L.P.[Luis Pastor], Suárez-Guerra, S.[Sergio], Hernández-Bautista, I.[Ignacio],
Rotor Unbalance Detection in Electrical Induction Motors Using Orbital Analysis,
MCPR14(371-379).
Springer DOI 1407
BibRef
Earlier: A1, A2, Only:
Misalignment Identification in Induction Motors Using Orbital Pattern Analysis,
CIARP13(II:50-58).
Springer DOI 1311
BibRef

Rauber, T.W.[Thomas W.], Varejão, F.M.[Flávio M.],
Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network,
CAIP13(449-456).
Springer DOI 1308
BibRef

Weiss, P.[Patrick], Zenker, P.[Patrick], Maehle, E.[Erik],
Feed-forward friction and inertia compensation for improving backdrivability of motors,
ICARCV12(288-293).
IEEE DOI 1304
BibRef

Wong, P.K.[Pak Kin], Wong, H.C.[Hang Cheong], Vong, C.M.[Chi Man],
Modelling and prediction of automotive engine air-ratio using relevance vector machine,
ICARCV12(1710-1715).
IEEE DOI 1304
BibRef

Dais, J., Ying, J.[Jin],
Multivariable robust H-inf control for aeroengines using modified Particle Swarm Optimization algorithm,
ICARCV12(1605-1609).
IEEE DOI 1304
BibRef

Lin, S.Q.[Shao-Qian], Jia, Y.[Yukun], Lei, I.P.[Iok Peng], Xu, Q.S.[Qing-Song],
Design and optimization of a long-stroke compliant micropositioning stage driven by voice coil motor,
ICARCV12(1716-1721).
IEEE DOI 1304
BibRef

Lu, Y.[Ye], Qi, R.[Ruiyun],
Adaptive observer-based output feedback control design for fault compensation and tolerance,
ICARCV12(731-736).
IEEE DOI 1304
BibRef

Chen, J.L.[Jian-Liang], Cao, Y.Y.[Yong-Yan],
Robust fault detection observer design for LPV systems,
ICARCV12(504-511).
IEEE DOI 1304
BibRef

Wang, Z.F.[Ze-Feng], Zarader, J.L.[Jean-Luc], Argentieri, S.[Sylvain],
A novel aircraft fault diagnosis and prognosis system based on Gaussian Mixture Models,
ICARCV12(1794-1799).
IEEE DOI 1304
BibRef

Miraliakbari, A., Hahn, M., Engels, J.,
Vibrations of a Gyrocopter: An Analysis Using IMUS,
ISPRS12(XXXIX-B1:497-502).
DOI Link 1209
BibRef

Robertson, P.[Paul], Coney, W.B.[William B.], Bobrow, R.[Robert],
Vehicle load estimation from observation of vibration response,
AIPR10(1-8).
IEEE DOI 1010
BibRef

Pérez, E.I.[Eduardo Islas], Rada, J.B.[Jessica Bahena], Lima, J.R.[Jesus Romero], Marín, M.M.[Mirna Molina],
Design and Costs Estimation of Electrical Substations Based on Three-Dimensional Building Blocks,
ISVC10(III: 574-583).
Springer DOI 1011
BibRef

Koprinska, I.[Irena], Sood, R.[Rohen], Agelidis, V.[Vassilios],
Variable Selection for Five-Minute Ahead Electricity Load Forecasting,
ICPR10(2901-2904).
IEEE DOI 1008
BibRef

Liu, Q.J.[Qing-Jie], Liu, X.F.[Xiao-Fang], Chen, G.M.[Gui-Ming],
Study on feature extraction of high speed precision electric machine vibration signal,
IASP10(466-469).
IEEE DOI 1004
BibRef

Mei, W.[Wang], Dan, Z.[Zhou], Li, W.[Wang],
Power Cable Faults Diagnosis Based on the Convex Hull Binary Tree SVM,
CISP09(1-5).
IEEE DOI 0910
BibRef

Nor, M.A.[Mohammed Asri], Abdullah, A.H.[Abdul Halim], Saman, A.M.[Alias Mat],
Harmonic Balance Simulation for the Nonlinear Analysis of Vibration Isolation System Using Negative Stiffness,
ICMV09(339-342).
IEEE DOI 0912
BibRef

Wang, S.C.[Sheng-Chun], Song, S.J.[Shi-Jun], Jin, T.H.[Tong-Hong], Wang, X.W.[Xiao-Wei],
Adaptive Chirplet Decomposition Method and Its Application in Machine Fault Diagnosis,
CISP09(1-5).
IEEE DOI 0910
BibRef

Passadis, K., Loizos, G.,
Core Power Losses Estimation of Wound Core Distribution Transformers with Support Vector Machines,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Cheng, J.Z.[Jian-Zheng], Li, D.J.[De-Jun], Wei, Z.G.[Zhi-Gang], Chu, M.J.[Mei-Juan], Zhang, D.J.[De-Jun],
Application of Fuzzy Pattern Recognition in Ultrasonic Transverse Wave Detection of Wheel Flaws,
CISP09(1-5).
IEEE DOI 0910
BibRef

Ding, P.[Pei], Yu, C.C.[Chong-Chong], He, X.Y.[Xiao-Yu],
A Study and Application of HHT in Vibration Signal Analysis of Bridge Structural Health Monitoring System,
CISP09(1-5).
IEEE DOI 0910
BibRef

Xiang, L.[Ling], Chen, X.J.[Xiu-Juan], Tang, G.J.[Gui-Ji],
The Torsional Vibration of Turbo-Generator Groups in Mechanically and Electrically Coupled Influences,
CISP09(1-4).
IEEE DOI 0910
BibRef

Dong, Y.H.[Yu-Hua], Xiao, Y.[Ying], Xu, S.[Shuang],
Research on Telemetry Vibration Signal Processing by Hilbert-Huang Transform,
CISP09(1-4).
IEEE DOI 0910
BibRef

Kumar, M.[Mahendra], Kar, I.N.,
Fault Diagnosis of an Air-Conditioning System Using LS-SVM,
PReMI09(555-560).
Springer DOI 0912
BibRef

Peng, D.G.[Dao-Gang], Zhang, H.[Hao], Weng, J.N.[Jian-Nian], Xia, F.[Fei],
Research of the Embedded Data Pre-Processing and Fault Prognostics System for Turbine-Generator Units,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, H.[Hui], Fu, L.H.[Li-Hui], Zheng, H.Q.[Hai-Qi],
Bearings Fault Detection and Diagnosis Using Envelope Spectrum of Laplace Wavelet Transform,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, H.[Hui], Fu, L.H.[Li-Hui], Zheng, H.Q.[Hai-Qi],
Bearings Fault Diagnosis Based on Second Order Cyclostationary Analysis,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhang, W.B.[Wen-Bin], Cai, Q.[Qun], Shen, L.[Lu], Wang, H.J.[Hong-Jun], Li, J.S.[Jun-Sheng],
A New Method for Fault Diagnosis of Rotating Machinery Based on Harmonic Wavelet Filtering,
CISP09(1-3).
IEEE DOI 0910
BibRef

Guo, T.D.[Tian-Dong], Wang, Q.[Qi], Song, K.[Kai], Shen, Z.G.[Zheng-Guang],
Voltage Flicker Analysis Based on Second Order Blind Identification,
CISP09(1-4).
IEEE DOI 0910
BibRef

Kaur, A.[Arashdeep], Sandhu, P.S.[Parvinder S.], Bra, A.S.[Amanpreet Singh],
Early Software Fault Prediction Using Real Time Defect Data,
ICMV09(242-245).
IEEE DOI 0912
BibRef

Rognvaldsson, T.[Thorsteinn], Panholzer, G.[Georg], Byttner, S.[Stefan], Svensson, M.[Magnus],
A self-organized approach for unsupervised fault detection in multiple systems,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Rajshekhar, Gupta, A.[Ankur], Samanta, A.N., Kulkarni, B.D., Jayaraman, V.K.,
Fault Diagnosis Using Dynamic Time Warping,
PReMI07(57-66).
Springer DOI 0712
BibRef

Chen, H.F.[Hai-Feng], Jiang, G.F.[Guo-Fei], Yoshihira, K.[Kenji],
Fault Detection in Distributed Systems by Representative Subspace Mapping,
ICPR06(IV: 912-915).
IEEE DOI 0609
Faults in computing systems. BibRef

Ilonen, J., Paalanen, P., Kamarainen, J.K., Lindh, T., Ahola, J., Kälviäinen, H., Partanen, J.,
Toward Automatic Motor Condition Diagnosis,
SCIA05(970-977).
Springer DOI 0506
BibRef

Stevens, M.R., Snorrason, M., Petrovich, D.,
Identifying vehicles using vibrometry signatures,
ICPR02(III: 253-256).
IEEE DOI 0211
BibRef

Ben Dhaou, I.[Imed], Akopian, D., Kuosmanen, P., Astola, J.T.,
Fault detection in stack filter circuits based on sample selection probabilities,
ICIP96(I: 765-768).
IEEE DOI 9610
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Financial Analysis .


Last update:Nov 11, 2017 at 13:31:57