Detection and diagnosis of bearing and cutting tool faults using hidden Markov models

Introduction to Statistical Quality Control

Sauter, R., & Montgomery, D. C. (1992) · Technometrics · doi:10.2307/1269251 · Cited by 7,881 · see citing works

Fundamentals of speech recognition

Rabiner, L. R., & Juang, B.-H. F. (1993) · Cited by 7,680 · see citing works

An introduction to hidden Markov models

Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775 · see citing works

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy

Frank, P. M. (1990) · Automatica · doi:10.1016/0005-1098(90)90018-d · Cited by 3,545 · see citing works

Digital processing of speech signals

(1980) · Pattern Recognition · doi:10.1016/0031-3203(80)90010-2 · Cited by 2,642 · see citing works

Digital Processing of Speech Signals

Ackroyd, M. H. (1979) · Electronics and Power · doi:10.1049/ep.1979.0173 · Cited by 2,408 · see citing works

Mechanical engineering design

Shigley, J. E. (2001) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,168 · see citing works

Rolling Bearing Analysis

Harris, T. A., & Crecelius, W. J. (1986) · Journal of Tribology · doi:10.1115/1.3261135 · Cited by 1,693 · see citing works

Survey of model-based failure detection and isolation in complex plants

Gertler, J. J. (1988) · IEEE Control Systems Magazine · doi:10.1109/37.9163 · Cited by 1,117 · see citing works

Rolling bearing analysis

Taylor, C. M. (1992) · Wear · doi:10.1016/0043-1648(92)90098-s · Cited by 718 · see citing works

Mechanical engineering design

Reddy, T. Y. (1985) · Journal of Mechanical Working Technology · doi:10.1016/0378-3804(85)90010-5 · Cited by 663 · see citing works

Recent developments of induction motor drives fault diagnosis using AI techniques

Filippetti, F., Franceschini, G., Tassoni, C., & Vas, P. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.873207 · Cited by 511 · see citing works

Induction machine drive condition monitoring and diagnostic research—a survey

Singh, G. K., & Kazzaz, S. A. S. A. (2002) · Electric Power Systems Research · doi:10.1016/s0378-7796(02)00172-4 · Cited by 363 · see citing works

Gearbox fault detection using Hilbert and wavelet packet transform

Fan, X., & Zuo, M. J. (2005) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2005.08.032 · Cited by 328 · see citing works

Handbook of Condition Monitoring

Rao, B. K. N. (1996) · Medical Entomology and Zoology · Cited by 307 · see citing works

CONDITION-BASED MAINTENANCE OF MACHINES USING HIDDEN MARKOV MODELS

Bunks, C., MCCARTHY, D., & Al-ani, T. (2000) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.2000.1309 · Cited by 257 · see citing works

Sensor Integration Using Neural Networks for Intelligent Tool Condition Monitoring

Rangwala, S., & Dornfeld, D. A. (1990) · Journal of Engineering for Industry · doi:10.1115/1.2899578 · Cited by 245 · see citing works

Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement

Su, W., Wang, F., Zhu, H., et al. (2009) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2009.11.011 · Cited by 223 · see citing works

Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)

Ertunç, H. M., Loparo, K. A., & Ocak, H. (2001) · International Journal of Machine Tools and Manufacture · doi:10.1016/s0890-6955(00)00112-7 · Cited by 183 · see citing works

Fault severity assessment for rolling element bearings using the Lempel–Ziv complexity and continuous wavelet transform

Hong, H., & Liang, M. (2008) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2008.07.011 · Cited by 162 · see citing works

Artificial intelligence in engineering

Pham, D. T., & Pham, P. T. N. (1999) · International Journal of Machine Tools and Manufacture · doi:10.1016/s0890-6955(98)00076-5 · Cited by 157 · see citing works

Improving Automatic Detection of Defects in Castings by Applying Wavelet Technique

Li, X., Tso, S. K., Guan, X.-P., & Huang, Q. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.885448 · Cited by 154 · see citing works

Condition monitoring and classification of rotating machinery using wavelets and hidden Markov models

Miao, Q., & Makiš, V. (2006) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.01.009 · Cited by 130 · see citing works

Genetic algorithms for feature selection in machine condition monitoring with vibration signals

Jack, L. B., & Nandi, A. K. (2000) · IEE Proceedings - Vision Image and Signal Processing · doi:10.1049/ip-vis:20000325 · Cited by 125 · see citing works

A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals

Soltani, I., & Liang, M. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2007.10.006 · Cited by 121 · see citing works

Drill wear monitoring using cutting force signals

Ertunç, H. M., & Oysu, C. (2003) · Mechatronics · doi:10.1016/j.mechatronics.2003.10.005 · Cited by 96 · see citing works

OBJECTIVE MACHINERY FAULT DIAGNOSIS USING FUZZY LOGIC

Mechefske, C. K. (1998) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1998.0173 · Cited by 87 · see citing works

Modeling and recognition of cursive words with hidden Markov models

Cho, W., Lee, S., & Kim, J. H. (1995) · Pattern Recognition · doi:10.1016/0031-3203(95)00041-0 · Cited by 85 · see citing works

Chatter detection based on probability distribution of wavelet modulus maxima

Wang, L., & Liang, M. (2009) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2009.04.011 · Cited by 84 · see citing works

Diagnosis of mechanical fault signals using continuous hidden Markov model

Lee, J. M., Kim, S., Hwang, Y., et al. (2003) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2003.08.021 · Cited by 81 · see citing works

Automatic Classification of Environmental Noise Events by Hidden Markov Models

Couvreur, C., Fontaine, V., Gaunard, P., et al. (1998) · Applied Acoustics · doi:10.1016/s0003-682x(97)00105-9 · Cited by 80 · see citing works

Three state-of-the-art methods for condition monitoring

Grimmelius, H. T., Meiler, P. P., Maas, H. L. M. M., et al. (1999) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.753780 · Cited by 69 · see citing works

Fault classification of rolling bearing based on reconstructed phase space and Gaussian mixture model

Wang, G. F., Li, Y. B., & Luo, Z. G. (2009) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2009.01.003 · Cited by 68 · see citing works

Detection of machine failure: Hidden Markov Model approach

Tai, A. H., Ching, W., & Chan, L. Y. (2008) · Computers & Industrial Engineering · doi:10.1016/j.cie.2008.09.028 · Cited by 49 · see citing works

Neural-Network-Based System for Novel Fault Detection in Rotating Machinery

Crupi, V., Guglielmino, E., & Milazzo, G. (2004) · Journal of Vibration and Control · doi:10.1177/1077546304043543 · Cited by 45 · see citing works

Extraction of Periodic Components for Gearbox Diagnosis Combining Wavelet Filtering and Cyclostationary Analysis

Lin, J., & Zuo, M. J. (2004) · Journal of vibration and acoustics · doi:10.1115/1.1760565 · Cited by 38 · see citing works

A joint wavelet lifting and independent component analysis approach to fault detection of rolling element bearings

Fan, X., Liang, M. X., Yeap, T. H., et al. (2007) · Smart Materials and Structures · doi:10.1088/0964-1726/16/5/056 · Cited by 38 · see citing works

Artificial intelligence in engineering

(1991) · Choice Reviews Online · doi:10.5860/choice.29-0940 · Cited by 13 · see citing works

Some Considerations on Tool-Life Scatter and Its Implications

Levi, R., & Rossetto, S. (1975) · Journal of Engineering for Industry · doi:10.1115/1.3438708 · Cited by 8 · see citing works

MONITORING MACHINING PROCESSES BASED ON DISCRETE WAVELET TRANSFORM AND STATISTICAL PROCESS CONTROL

Li, X., & DU, R. (2004) · International Journal of Wavelets Multiresolution and Information Processing · doi:10.1142/s0219691304000548 · Cited by 7 · see citing works

Fault detection and diagnosis in machining processes and rotating machinery using fuzzy approach and hidden Markov model

Boutros, T. (2006) · uO Research (University of Ottawa) · doi:10.20381/ruor-12969 · Cited by 5 · see citing works

Applications of machine learning to machine fault diagnosis: A review and roadmap

Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997 · see citing works

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

Wang, S., Xiang, J., Zhong, Y., & Zhou, Y. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.12.027 · Cited by 269 · see citing works

Detection and diagnosis of bearing faults using shift-invariant dictionary learning and hidden Markov model

Zhou, H., Chen, J., Dong, G., & Wang, R. (2016) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.11.022 · Cited by 131 · see citing works

Research of HMM and I/O HMM used in protein secondary structure prediction

Ling, J. (2002) · Computer and Information Technology

A mixed autoregressive hidden-markov-chain model applied to people's movements

Asahara, A., Maruyama, K., & Shibasaki, R. (2012) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/2424321.2424378 · Cited by 12 · see citing works

Mid-long Term Load Forecasting Using Hidden Markov Model

Niu, D., Kou, B., & Zhang, Y. (2009) · doi:10.1109/iita.2009.422 · Cited by 11 · see citing works

The Research of Software Behavior Recognition and Trend Prediction Method Based on GA-HMM

Zhang, Z., Xu, D., Meng, Y., et al. (2015) · International Conference on Internet Computing for Science and Engineering · doi:10.1109/icicse.2015.38

On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches

Razavi, M., Rasipuram, R., & Magimai.-Doss, M. (2014) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2014.6855090 · Cited by 25 · see citing works