A stacked autoencoder neural network based automated feature extraction method for anomaly detection in on-line condition monitoring

• Main Authors: Roy, Mohendra, Bose, Sumon Kumar, Kar, Bapi, Gopalakrishnan, Pradeep Kumar, Basu, Arindam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Feature Extraction; Condition Monitoring; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/106103; http://hdl.handle.net/10220/49567; http://dx.doi.org/10.1109/SSCI.2018.8628810
• Institution: Nanyang Technological University

Condition monitoring is one of the routine tasks in all major process industries. The mechanical parts such as a motor, gear, bearing are the major components of a process industry and any fault in them may cause a total shutdown of the whole process, which may result in serious losses. Therefore it...