Prognostics and Health Assessment of a Multi-Regime System using a Residual Clustering Health Monitoring Approach

Prognostics and Health Assessment of a Multi-Regime System using a Residual Clustering Health Monitoring Approach

Bibliographic Details
Main Author:	Siegel, David
Language:	English
Published:	University of Cincinnati / OhioLINK 2013
Subjects:	Mechanics Residual Clustering Health Monitoring Auto-Associative Neural Network Multi-Regime Sensor Health Gearbox Condition Monitoring
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=ucin1382372576

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