Detection of Induction Motor Faults in Inverter Drives Using Inverter Input Current Analysis

Georgakopoulos, Ioannis; Mitronikas, Epaminondas D.; Safacas, A.

doi:10.1109/tie.2010.2093476

Cited by 80 publications

(33 citation statements)

References 34 publications

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“…Failures include DC-link capacitors, voltage sensors, semiconductor switches and control/gate driver circuits [3][4][5][6]. Hence, fault tolerance is mandatory in ac drives power conversion, which ensures fault detection, localization and isolation, allowing continuous propagation [7][8][9][10]. Recently, the multi-phase ac machines proved their arrival by the redundancy in configuration, system reliability, and fault tolerance [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Analysis and implementation of power management and control strategy for six-phase multilevel ac drive system in fault condition

Padmanaban¹,

Grandi

Blaabjerg

et al. 2016

Engineering Science and Technology, an International Journal

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A B S T R A C TThis research article exploits the power management algorithm in post-fault conditions for a six-phase (quad) multilevel inverter. The drive circuit consists of four 2-level, three-phase voltage source inverter (VSI) supplying a six-phase open-end windings motor or/impedance load, with circumstantial failure of one VSI investigated. A simplified level-shifted pulse-width modulation (PWM) algorithm is developed to modulate each couple of three-phase VSI as 3-level output voltage generators in normal operation. The total power of the whole ac drive is shared equally among the four isolated DC sources. The developed post-fault algorithm is applied when there is a fault by one VSI and the load is fed from the remaining three healthy VSIs. In faulty conditions the multilevel outputs are reduced from 3-level to 2-level, but still the system propagates with degraded power. Numerical simulation modelling and experimental tests have been carried out with proposed post-fault control algorithm with three-phase open-end (asymmetrical induction motor/R-L impedance) load. A complete set of simulation and experimental results provided in this paper shows close agreement with the developed theoretical background.

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Section: Introductionmentioning

confidence: 99%

Analysis and implementation of power management and control strategy for six-phase multilevel ac drive system in fault condition

Padmanaban¹,

Grandi

Blaabjerg

et al. 2016

Engineering Science and Technology, an International Journal

View full text Add to dashboard Cite

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“…All these influences complicate the utilization of frequency analysis methods. VSI-fed motor faults have been analyzed and initial results are given in literature [21][22][23][24][25][26][27] but further investigation is still required [28].…”

Section: Introductionmentioning

confidence: 99%

Analysis of fault signatures for the diagnosis of induction motors fed by voltage source inverters using ANOVA and additive models

Duque-Pérez

García-Escudero

Moriñigo-Sotelo

et al. 2015

Electric Power Systems Research

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“…• The sampling rate must be high enough to avoid aliasing artifacts in the current spectrum, specially if the motor is being fed from a variable speed drives (VSD) [27]. Low sampling rates can be used if the current is smoothed with anti-aliasing filters before being sampled, as in [1], [2], [6], [16], [28], [29].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, a growing trend consists in oversampling the current signal at a very high sampling rate, and applying after a low pass digital filter. Modern hardware can operate at sampling rates above 100 kHz [8], [27], [30], and has the computing power to perform real time digital filtering, so that high sampling rates are being increasingly used: 20 kHz in [31], 25 kHz in [32], 50 kHz in [33], and 100 kHz in [34]. • The diagnostic procedure must be simple, fast, and with low memory requirements, to be executed on line by embedded devices operating in real time [2], [11] such as DSPs [1], [6], [22], FPGAs [28], [35], portable devices [16], [36], small wireless sensors [33], [37], low cost processors [38], or energy-constrained sensor modules [39].…”

Section: Introductionmentioning

confidence: 99%

Condition monitoring of electrical machines using low computing power devices

Sapena-Bañó

Pérez-Cruz

Pineda-Sánchez

et al. 2014

2014 International Conference on Electrical Machines (ICEM)

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The diagnosis of electrical motors through the detection of fault frequency signatures in the current's spectrum has become an established standard in the field of industrial maintenance systems. Nevertheles, its implementation on devices with low computing power remains a practical challenge. Industrial controllers, such as programmable logic controllers, or modern, low cost controller hardware, such as the Arduino or the Raspberry Pi open source hardware proposals, lack both the on-board memory and the high speed data acquisition hardware to perform an accurate spectral analysis of the machine's current, in order to identify the spectral components produced by each type of fault. In this paper, a signal conditioning unit, based on a novel downsampling method of the current, is presented. This unit reduces the amount of current samples that must be processed by the diagnostic unit to a mere sample per current cycle, maintains the sub-hertz accuracy needed to resolve fault, and converts the mains component into a constant value that can be easily eliminated without using any additional filter. Besides, it is implemented using low cost devices, just resistors and operational amplifiers. The proposed method is theoretically developed in this paper, and it has been validated using induction motors with broken bars fed directly by the mains or through variable speed drives.

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Detection of Induction Motor Faults in Inverter Drives Using Inverter Input Current Analysis

Cited by 80 publications

References 34 publications

Analysis and implementation of power management and control strategy for six-phase multilevel ac drive system in fault condition

Analysis and implementation of power management and control strategy for six-phase multilevel ac drive system in fault condition

Analysis of fault signatures for the diagnosis of induction motors fed by voltage source inverters using ANOVA and additive models

Condition monitoring of electrical machines using low computing power devices

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