Induction Motor Bearing Failure Detection and Diagnosis: Park and Concordia Transform Approaches Comparative Study

Önel, Izzet; Benbouzid, Mohamed

doi:10.1109/tmech.2008.918535

Cited by 109 publications

(27 citation statements)

References 37 publications

(28 reference statements)

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“…The bearing has eight balls (N = 8) with a diameter equal to D B = 12 mm. The experimental tests have been performed with healthy and faulty bearings (inner race deterioration) under different motor load conditions [36].…”

Section: B Experimental Signalsmentioning

confidence: 99%

“…To overcome this problem, more sophisticated approaches have been proposed for failure detection. These include neural networks [31], [36], [39], Bayesian classifiers [23], fuzzy logic classifiers [33], [36], genetic algorithms [38], and other classifiers [34]. However, these approaches are computationally demanding, and their performances highly depend on the representativeness of the training set.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques

Choqueuse

Benbouzid

Amirat

et al. 2012

IEEE Trans. Ind. Electron.

108

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Abstract-This paper deals with the diagnosis of three-phase electrical machines and focuses on failures that lead to stator-current modulation. To detect a failure, we propose a new method based on stator-current demodulation. By exploiting the configuration of three-phase machines, we demonstrate that the demodulation can be efficiently performed with low-complexity multidimensional transforms such as the Concordia transform (CT) or the principal component analysis (PCA). From a practical point of view, we also prove that PCA-based demodulation is more attractive than CT. After demodulation, we propose two statistical criteria aiming at measuring the failure severity from the demodulated signals. Simulations and experimental results highlight the good performance of the proposed approach for condition monitoring.

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Section: B Experimental Signalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques

Choqueuse

Benbouzid

Amirat

et al. 2012

IEEE Trans. Ind. Electron.

108

View full text Add to dashboard Cite

show abstract

“…The three-stator winding is constructed to give a sinusoidal air-gap flux distribution; similarly, specially shaped rotor magnets provide sinusoidal flux within the air gap. The Concordia transform (CT) has proved to simplify motor drive control [32]. Using the generalized power invariant CT enables to diagonalize the stator inductance matrix.…”

mentioning

confidence: 99%

Space-Vector PWM Control Synthesis for an H-Bridge Drive in Electric Vehicles

Kolli¹,

Béthoux

Bernardinis³

et al. 2013

IEEE Trans. Veh. Technol.

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Abstract-This paper deals with a synthesis of Space Vector PWM control methods applied for a H-bridge inverter feeding a 3-phase Permanent Magnet Synchronous Machine in Electric Vehicle application. First, a short survey of existing power converter architectures, especially those adapted to degraded operating modes, is presented. Standard SVPWM control methods are compared with three innovative ones using EV-drive specifications in the normal operating mode. Then, a rigorous analysis of the margins left in the control strategy is presented for a semiconductor switch failure to fulfill degraded operating modes. Finally, both classic and innovative strategies are implemented in numerical simulation; their results are analyzed and discussed. Index Terms-Motor drives, Inverters, Space vector pulse width modulation (SVPWM), Permanent magnet machines, Semiconductor device reliability I.INTRODUCTIONPower converters are increasingly used in automotive applications for many reasons such as power conditioning, power management, and consumption reduction. As for any embedded transportation system, these power converters are subject to severe constraints especially regarding compactness and vehicle integration. More specifically electric vehicles (EVs) require a high degree of availability (continuity of service). In particular the constraining automotive environment is characterized by severe traction-braking cycles which induce power and thermal cycling during running phases of the vehicle [1]- [2]. Indeed, thermo-mechanical stresses have a significant impact on the lifetime power switches [3]. Consequently, there is a degradation of the semiconductor devices, which finally forces them into a failed state: short-circuit (SC) or open-circuit (OC) [2]. Such failures occurring on single power switches can affect the function of power converters and spread through the traction chain elements. It is then necessary to first isolate the fault, confine it and lastly reconfigure the control algorithms to operate in the presence of the fault. Obviously, the topology of the power converters or the power chain must be adapted to allow operation in degraded mode:-by associating a fourth additional half bridge in a three-phase inverter topology connected to the neutral point of the electric motor [4]. IFSTTAR/COSYS/LTN-Laboratoire des Technologies Nouvelles 2 LGEP-Laboratoire de Génie Electrique de Paris-by using multilevel inverters topologies used in a high power traction drive [5].-by redistributing the control efforts in a four-wheel independently driven electric vehicles [6]… Furthermore, faults may also happen on sensors and can be taken into account by active fault-tolerant control systems. For example in [7]-[8], authors consider a high-performance induction-motor drive for an EV or a hybrid one (HEV). The proposed systems detect a sensor loss or a sensor recovery and dynamically change its strategies to sustain the best control performances.Besides, faults may also occur in the electrical machine and can be considered using fa...

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“…For modulated signals, the most popular techniques are TKEO [18], HT, and it has been recently shown that the CT can be used for demodulation [19][20]. Those techniques were investigated in many research works for failure detection tasks.…”

Section: Current Modulation Vs Failure Detection Techniquementioning

confidence: 99%

EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

Amirat

Choqueuse

Benbouzid

2013

Mechanical Systems and Signal Processing

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Failure detection has always been a demanding task in the electrical machines community; it has become more challenging in wind energy conversion systems because sustainability and viability of wind farms are highly dependent on the reduction of the operational and maintenance costs. Indeed the most efficient way of reducing these costs would be to continuously monitor the condition of these systems.This allows for early detection of the generator health degeneration, facilitating a proactive response, minimizing downtime, and maximizing productivity. This paper provides then an assessment of a failure detection techniques based on the homopolar component of the generator stator current and attempts to highlight the use of the ensemble empirical mode decomposition as a tool for failure detection in wind turbine generators for stationary and non stationary cases.

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Induction Motor Bearing Failure Detection and Diagnosis: Park and Concordia Transform Approaches Comparative Study

Cited by 109 publications

References 37 publications

Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques

Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques

Space-Vector PWM Control Synthesis for an H-Bridge Drive in Electric Vehicles

EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

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