Comparative Study of Deep Learning Techniques for Breakdown Prediction in Pump Sensor Systems
Author:
Affiliation:
1. University of Johannesburg,Faculty of Engineering and the Built Environment,Department of Electrical and Electronic Engineering Technology (DEEET)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10057588/10057602/10057611.pdf?arnumber=10057611
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1. A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models;gopali;ArXiv,2021
2. Anomaly detection for time series using temporal convolutional networks and Gaussian mixture model
3. Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor Data
4. Temporal Convolutional Networks for Anomaly Detection in Time Series
5. A Survey on Predictive Maintenance for Industry 4. 0;krupitzer;ArXiv,2020
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