Fault diagnostic model for rotating machinery based on principal component analysis and neural network

In the current economic challenge, methods to accurately predict system failure has become a holy grail in maintenance with the goal to reduce the cost of unavailability due to unscheduled shutdown. This has led to the current research with the aim to achieve a more accurate fault diagnosis for rota...

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Bibliographic Details
Main Authors: Muhammad, M.B, Sarwar, U., Tahan, M.R., Abdul Karim, Z.A.
Format: Article
Published: Asian Research Publishing Network 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009230977&partnerID=40&md5=fca03f86730f7990ca001fa0e14380df
http://eprints.utp.edu.my/25316/
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