A new vibration-based hybrid anomaly detection model for preventing high-power generator failures in power plants-Reference-Cited by-同舟云学术

A new vibration-based hybrid anomaly detection model for preventing high-power generator failures in power plants

Published:2021-08-10 Issue:23 Volume:43 Page:3184-3202
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Kirbaş Ismail¹^ORCID,Kerem Alper²^ORCID

Affiliation:

1. Department of Computer Engineering, Mehmet Akif Ersoy University, Burdur, Turkey

2. Department of Electrical Electronics Engineering, Kahramanmaraş Sütçü İmam University, K.Maraş, Turkey

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1960654

Reference42 articles.

1. NMF-based decomposition for anomaly detection applied to vibration analysis

2. Ahmad, S., K. Styp-Rekowski, S. Nedelkoski, and O. Kao 2021. Autoencoder-based condition monitoring and anomaly detection method for rotating machines. Accessed 05 April 2021. Available via DIALOG. https://arxiv.org/abs/2101.11539

3. Anomaly detection

4. Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares

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