Induction motor stator faults diagnosis by using parameter estimation algorithms

Duan, Fang; Živanović, Rastko

doi:10.1109/demped.2013.6645728

Cited by 9 publications

(9 citation statements)

References 22 publications

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“…To this end, the induction motor model should be adapted to include the corresponding characteristic parameters, and an additional fault classification method might be necessary to detect a condition with the combined faults [21], [33]. Based on this parameter estimation method framework, the conventional local and global search methods in the SIMULINK Parameter Estimation Toolbox have been, respectively, employed to diagnose the stator short-circuit fault in [23]. As the induction model is a nonlinear system and (18) includes several local minima, local search algorithms might be trapped into local minima.…”

Section: Condition Monitoring Of Stator Windings Using Global Opmentioning

confidence: 99%

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Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points

Duan

Živanović

2015

IEEE Trans. Ind. Electron.

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The objective of condition monitoring of induction machines is to detect the incipient stage of a fault before serious damage occurs with high associated cost. Although the condition monitoring techniques have been intensively investigated in the last decades, research is still carried out in reducing cost and improving accuracy. This paper proposes a novel method that enables efficient and accurate monitoring of the stator winding circuit fault. The proposed method is based on the sparse grid optimization method applied in the least squares estimation of the circuit parameters that characterize the condition of a fault incipient. The kernel of the method is the efficient search for the objective function minimum on the grid created by using the hyperbolic cross points (HCPs). The system cost and complexity are minimized since the proposed method only requires voltage and current signals recorded at a machine terminal without any invasive or additional hardware circuitry. The proposed HCP algorithm is robust to supply voltage unbalance and motor loading state. The validity and effectiveness of the proposed scheme is experimentally tested on a three-phase 800-W 380-V induction motor.

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Section: Condition Monitoring Of Stator Windings Using Global Opmentioning

confidence: 99%

“…Since an induction motor model is highly nonlinear, a local search algorithm might be trapped into local minima. Thus, the parameter estimation result of a local search algorithm is highly dependent on the start point [23]. On the contrary, the global optimization algorithm is less sensitive to the start point.…”

Section: Introductionmentioning

confidence: 99%

Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points

Duan

Živanović

2015

IEEE Trans. Ind. Electron.

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“…The estimated parameters indicate the corresponding fault status. The characterise parameters estimation can be implemented in either time domain [11], or frequency domain [18].…”

Section: Application Architecturementioning

confidence: 99%

Automated multi-motor condition monitoring based on IEC 61850

Duan

Živanović

2013

2013 IEEE ECCE Asia Downunder

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This paper demonstrates a novel multi-motor condition monitoring scheme which can substantially reduce implementation cost for some industrial plants. The proposed multi-motor condition monitoring scheme builds on top of the technology implemented in modern Intelligent Electronic Devices (IEDs) for motor protection and control. The backbone of this scheme is broadly accepted Ethernet technology and the IEC 61850 communication standard. Due to the widespread use of IEC 61850 in various industries, cost of the technology is significantly reduced while reliability has been improved.

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“…The model-based methods uses knowledge of the system model (including the effect of faults) to design residual generators that can point to specific faults .Model-based approach can be divided into state estimation method, parameter estimation method and the parity space method. Some scholars establish a mathematical model of the induction motor and use parameter estimation method to detect fault [7][8][9]. And also some scholars through the establishment of a three-phase convertor mathematical model, use parameter estimation method to examine open circuit fault of the three-phase convertor [lO-13].…”

Section: Introductionmentioning

confidence: 99%

Open-circuited fault detection on switch of convertor in double-fed wind power generator set based on parameter estimation

Peng

Mao

Han

et al. 2015

2015 Chinese Automation Congress (CAC)

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The reliability of the convertor in double-fed wind power generator set is relatively poor. Once the switch of the convertor fails, the entire wind turbine set may be severely damaged or shut down. As to the issues, an open-circuited fault detection method is proposed on the basis of parameter estimation for the switch of rotor side convertor in double-fed wind power generator set. A whole model is built combining the induction motor and the convertor according to the topology structure of double-fed wind power generator set; the least square method is used to estimate the model parameter online; the model parameter is compared with the threshold values to diagnose whether there exists a fault. The simulation results show that the method is feasible and valid.

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Induction motor stator faults diagnosis by using parameter estimation algorithms

Cited by 9 publications

References 22 publications

Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points

Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points

Automated multi-motor condition monitoring based on IEC 61850

Open-circuited fault detection on switch of convertor in double-fed wind power generator set based on parameter estimation

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