Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique

Soualhi, Abdenour; Carrault, Guy; Razik, Hubert

doi:10.1109/tie.2012.2230598

Cited by 237 publications

(99 citation statements)

References 49 publications

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“…The analytical redundancy-based FTCS can generally be classified into two categories: the passive FTCS where controllers are designed fixedly to be robust against a specific class of faults as well as the active FTCS where the system component failures are reacted actively and the controller is reconfigured to accommodate the faults, see [19][20][21]. FTC results for traditional systems can be found in [22,23]. However, compared with the fruitful FDD results for networked systems, the FTC problems in networked environments have gained relatively less research attention and the corresponding results have been scattered [24,25].…”

Section: Fig 1 a Benchmark System: Dts 200mentioning

confidence: 99%

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System

Wang

Qin

et al. 2016

IEEE Trans. Contr. Syst. Technol.

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This paper is concerned with the active fault tolerant control (FTC) problem for an Internet-based networked threetank system (INTTS) serving as a benchmark system for evaluating networked FTC algorithms. The INTTS has two parts located at Tsinghua University in China and at the University of South Wales in the UK, respectively, which are connected via Internet. With the INTTS as an experimental platform, the active FTC problem is investigated for a class of nonlinear networked systems subject to partial actuator failures. A binary switching random sequence with a known distribution is employed to describe the packet dropout phenomena induced by network cables with limited-capacity.Once a specific actuator failure is detected and confirmed by a fault diagnosis unit, the control law is then reconfigured based on the information of the detected fault. Both the stability and the H ∞ disturbance attenuation performance are guaranteed for the closed-loop system by using the remaining reliable actuators. Extensive experiments are carried out on the active fault tolerant control problem of the INTTS with partial actuator failures and the effectiveness of the proposed scheme is illustrated. KeywordsActive fault tolerant control, Internet-based networked three-tank system, actuator failure, controller reconfiguration, random packet dropout.

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Section: Fig 1 a Benchmark System: Dts 200mentioning

confidence: 99%

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System

Wang

Qin

et al. 2016

IEEE Trans. Contr. Syst. Technol.

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“…Akin et al [16] performed real-time fault detection using the reference frame theory. Soualhi et al [17] diagnosed broken rotor bar fault through the classification of selected fault features using the improved artificial ant clustering method. Gunal et al [18] conducted IM broken rotor bar fault diagnosis by using fault indices in the time domain.…”

Section: Fault Detection Of Im Rotorsmentioning

confidence: 99%

Health Condition Monitoring of Induction Motors

Wang¹,

Li²

2015

Induction Motors - Applications, Control and Fault Diagnostics

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Induction motors (IMs) are commonly used in various industrial applications. A spectrum synch (SS) technique is proposed in this chapter for early IM defect detection using electric current signals; fault detection in this work will focus on defects in rolling element bearings and rotor bars, which together account for more than half of IM imperfections. In bearing fault detection, the proposed SS technique will highlight the peakedness of the fault frequency components distributed over several fault related local bands. These bands are synchronized to form a fault information spectrum to accentuate fault features. A central kurtosis indicator is proposed to extract representative features from the fault information spectrum and formulate a fault index for incipient IM fault diagnosis. The effectiveness of the developed SS technique is tested on IMs with broken rotor bars and with damaged bearings.

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“…Some intelligent tools based on soft computing and pattern classification were also used for motor fault diagnosis in Refs. [18][19][20], in order to explore patterns of the features. These aforementioned techniques, however, cannot thoroughly explore the relations among massive fault harmonic series in the current spectrum, which may degrade fault detection accuracy.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Harmonic Synthesis Technique for Air-Gap Eccentricity Fault Diagnosis in Induction Motors

Wang

Ismail

2017

Chin. J. Mech. Eng.

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Induction motors (IMs) are commonly used in various industrial applications. To improve energy consumption efficiency, a reliable IM health condition monitoring system is very useful to detect IM fault at its earliest stage to prevent operation degradation, and malfunction of IMs. An intelligent harmonic synthesis technique is proposed in this work to conduct incipient air-gap eccentricity fault detection in IMs. The fault harmonic series are synthesized to enhance fault features. Fault related local spectra are processed to derive fault indicators for IM airgap eccentricity diagnosis. The effectiveness of the proposed harmonic synthesis technique is examined experimentally by IMs with static air-gap eccentricity and dynamic air-gap eccentricity states under different load conditions. Test results show that the developed harmonic synthesis technique can extract fault features effectively for initial IM air-gap eccentricity fault detection.

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Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique

Cited by 237 publications

References 49 publications

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System

Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System

Health Condition Monitoring of Induction Motors

An Intelligent Harmonic Synthesis Technique for Air-Gap Eccentricity Fault Diagnosis in Induction Motors

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