A New Compressor Failure Prognostic Method Using Nonlinear Observers and a Bayesian Algorithm for Heavy-Duty Gas Turbines-Reference-Cited by-同舟云学术

A New Compressor Failure Prognostic Method Using Nonlinear Observers and a Bayesian Algorithm for Heavy-Duty Gas Turbines

Author:

Kordestani Mojtaba¹^ORCID,Mousavi Mehdi¹,Chaibakhsh Ali²^ORCID,Orchard Marcos E.³,Khorasani Khashayar⁴^ORCID,Saif Mehrdad¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada

2. Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran

3. Department of Electrical and Computer Engineering, Universidad de Chile, Santiago, Chile

4. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

Funder

Natural Sciences and Engineering Research Council (NSERC) of Canada

FONDECYT

Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference28 articles.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Experimental research on water washing process of gas turbine blades;Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023);2024-04-01