Title

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments

Document Type

Article

Publication Date

1-1-2019

Publication Title

IEEE Transactions on Industrial Electronics

Volume

66

Issue

1

First Page

561

Keywords

Diagnostic systems, extreme verification latency (EVL), nonstationary environments, novelty detection

Last Page

570

Abstract

Safe and reliable operation of systems relies on the use of online condition monitoring and diagnostic systems that aim to take immediate actions upon the occurrence of a fault. Model-based solutions are often not practical in nonstationary environments. Thus, the evolving data stream requires the data-driven model to be adaptive. In this paper, we propose a framework for the fault detection and classification that is accomplished on the data stream with both the gradual and abrupt drifts. The framework is only provided with prior information about the possible faults at the initial step; however, despite this, the framework can still detect the novel faults without receiving any update. Furthermore, an efficient fault classification algorithm is presented to maximize the efficiency of the proposed framework. Finally, the proposed framework is applied for diagnosing bearing defects in the induction motors to demonstrate its feasibility for industrial applications.

DOI

10.1109/TIE.2018.2826477

ISSN

02780046

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