Layer-wise relevance propagation for interpreting LSTM-RNN decisions in predictive maintenance
Authors:
- 11 September 2021
- journal article
- research article
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 118 (3-4) , 963-978
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- Wabash Heartland Innovation Network
This publication has 30 references indexed in Scilit:
- Gamma process with recursive MLE for wear PDF prediction in precognitive maintenance under aperiodic monitoringMechatronics, 2015
- Remaining useful life estimation based on gamma process considered with measurement error2014
- Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression ModelsInternational Journal of E-Health and Medical Communications, 2014
- Prognostics and health management design for rotary machinery systems—Reviews, methodology and applicationsMechanical Systems and Signal Processing, 2014
- Fault identification and classification of rolling element bearing based on time-varying autoregressive spectrumMechanical Systems and Signal Processing, 2008
- Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognosticsJournal of Sound and Vibration, 2007
- Wavelet filter-based weak signature detection method and its application on rolling element bearing prognosticsJournal of Sound and Vibration, 2006
- Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)International Journal of Machine Tools and Manufacture, 2001
- Long Short-Term MemoryNeural Computation, 1997
- Backpropagation through time: what it does and how to do itProceedings of the IEEE, 1990