A Weighted Deep Representation Learning Model for Imbalanced Fault Diagnosis in Cyber-Physical Systems

A Weighted Deep Representation Learning Model for Imbalanced Fault Diagnosis in Cyber-Physical Systems

Predictive maintenance plays an important role in modern Cyber-Physical Systems (CPSs) and data-driven methods have been a worthwhile direction for Prognostics Health Management (PHM). However, two main challenges have significant influences on the traditional fault diagnostic models: one is that ex...

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Bibliographic Details
Main Authors: Zhenyu Wu, Yang Guo, Wenfang Lin, Shuyang Yu, Yang Ji
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
PHM
deep learning
feature extraction
time series
class imbalance
fault diagnosis
cyber-physical system
Online Access:http://www.mdpi.com/1424-8220/18/4/1096

Internet

http://www.mdpi.com/1424-8220/18/4/1096

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