Multisensor-Based Bearing Fault Diagnosis Using Bag-of-Correlated-Time–Frequency Features Under Harsh Industrial Background
Author:
Affiliation:
1. Electrical Engineering Department, National Institute of Technology Durgapur, Durgapur, West Bengal, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7782634/10423169/10444005.pdf?arnumber=10444005
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1. Construction of health indicators for condition monitoring of rotating machinery: A review of the research
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4. Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances
5. Identification of steering wheel vibration source of internal combustion forklifts based on wavelet coherence analysis
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