Electrical Signature Analysis-Based Detection of External Bearing Faults in Electromechanical Drivetrains

Shahriar, Rifat; Borghesani, Pietro; Tan, Andy

doi:10.1109/tie.2017.2782240

Cited by 43 publications

(20 citation statements)

References 32 publications

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“…CSA is a nonintrusive method capable of identifying electrical and mechanical faults in a cost-effective manner [53][54][55]. It is based on the principle that different faults have different effects on the current spectra.…”

Section: The Method: Current Signature Analysismentioning

confidence: 99%

The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring

Artigao¹,

Honrubia-Escribano²,

Martín-Martínez³

et al. 2020

Design Optimization of Wind Energy Conversion Systems With Applications

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More modern and larger wind turbine (WT) generators are under continuous development. These exhibit more faults than smaller ones, which becomes critical offshore. Under this framework, operation and maintenance (O&M) is the key to improve reliability and availability of WTs, where condition-based maintenance (CBM) is currently seen as the preferred approach by the early detection and diagnosis of critical faults for WTs. The induction generator is one of the biggest contributors to failure rates and downtime of WTs, together with the gearbox and the drive train. In the present chapter, current signature analysis (CSA) will be introduced as a means for fault detection of WTs. CSA is a cost-effective and nonintrusive technique that can monitor both mechanical and electrical faults within the induction generator, as well as bearing-and gearbox-related faults. Different test cases of in-service wind turbine generators will be used to illustrate its usefulness.

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Section: The Method: Current Signature Analysismentioning

confidence: 99%

The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring

Artigao¹,

Honrubia-Escribano²,

Martín-Martínez³

et al. 2020

Design Optimization of Wind Energy Conversion Systems With Applications

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“…The Electrical Signature Analysis (ESA) is an effective non-invasive technique supporting predictive maintenance and Condition Monitoring (CM) system for rotating electrical machines to improve the reliability of the maintenance strategy [19][20].…”

Section: Equipment Availability =mentioning

confidence: 99%

A Novel Technique to Monitor Medical Equipment Modes of Operation

Naguib

Fawzi

2019

JES. Journal of Engineering Sciences

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Quantitative measurement of the effective usability of the medical equipment is an important parameter in the quality and performance assessment. This paper introduces a simple non-invasive technique for real time monitoring of medical equipment modes of operation based on its power consumption pattern. Mode of operation detection is needed to specify the medical equipment reliability, availability, maintainability and usability. The Electrical Signature Analysis technique (ESA), is applied to monitor the overall power consumption of the electromechanical and power components inside the medical equipment. ESA is extracted using the Root Mean Square (RMS) of the electric current measured by a meter interfaced to a PC via its USB port. The ESA of the medial equipment is recorded, analyzed and correlated with the stored electric current consumption patterns of each specific mode of operation. The results were promising to accomplish the medical equipment monitoring application.

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“…The condition-monitoring analyst can use the simulated signal to develop and validate signal processing techniques. Examples of fault modeling can be found in [60][61][62][63][64][65][66][67].…”

Section: Model-based Techniquesmentioning

confidence: 99%

Development of a Methodology for Condition-Based Maintenance in a Large-Scale Application Field

et al. 2018

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This paper describes a methodology, developed by the authors, for condition monitoring and diagnostics of several critical components in the large-scale applications with machines. For industry, the main target of condition monitoring is to prevent the machine stopping suddenly and thus avoid economic losses due to lack of production. Once the target is reached at a local level, usually through an R&D project, the extension to a large-scale market gives rise to new goals, such as low computational costs for analysis, easily interpretable results by local technicians, collection of data from worldwide machine installations, and the development of historical datasets to improve methodology, etc. This paper details an approach to condition monitoring, developed together with a multinational corporation, that covers all the critical points mentioned above.

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Electrical Signature Analysis-Based Detection of External Bearing Faults in Electromechanical Drivetrains

Cited by 43 publications

References 32 publications

The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring

The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring

A Novel Technique to Monitor Medical Equipment Modes of Operation

Development of a Methodology for Condition-Based Maintenance in a Large-Scale Application Field

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