Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence

Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence

Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure the safety of machinery. Conventional fault diagnosis and classification methods usually implement pretreatments to decrease noise and extract some time domain or frequency domain features from raw time seri...

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Bibliographic Details
Main Authors: Ran Zhang, Zhen Peng, Lifeng Wu, Beibei Yao, Yong Guan
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Sensors
Subjects:
faults diagnosis
deep neural networks
raw sensor data
temporal coherence
Online Access:http://www.mdpi.com/1424-8220/17/3/549

Internet

http://www.mdpi.com/1424-8220/17/3/549

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