Robust Diagnosis Method Based on Parameter Estimation for an Interturn Short-Circuit Fault in Multipole PMSM under High-Speed Operation

Lee, Jewon; Moon, Seokbae; Jeong, Haedo; Kim, Sang Woo

doi:10.3390/s151129452

Cited by 13 publications

(7 citation statements)

References 19 publications

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“…A similar approach using indirect flux estimation and online reactance measurement for PMSM can be found in [103]. Furthermore, [104] used two open-loop observers and Particle Swarm Optimization (PSO) to estimate the q-axis inductance and current of faulty phase. A feedforward neural network-based method is applied to diagnose a fault in the low power hub motor in [105].…”

Section: Parameter Estimation Based Detection Techniquesmentioning

confidence: 99%

A Comprehensive Review of Winding Short Circuit Fault and Irreversible Demagnetization Fault Detection in PM Type Machines

Ullah

Hur

2018

Energies

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Contemporary research has shown impetus in the diagnostics of permanent magnet (PM) type machines. The manufacturers are now more interested in building diagnostics features in the control algorithms of machines to make them more salable and reliable. A compact structure, exclusive high-power density, high torque density, and efficiency make the PM machine an attractive option to use in industrial applications. The impact of a harsh operational environment most often leads to faults in PM machines. The diagnosis and nipping of such faults at an early stage have appeared as the prime concern of manufacturers and end users. This paper reviews the recent advances in fault diagnosis techniques of the two most frequently occurring faults, namely inter-turn short fault (ITSF) and irreversible demagnetization fault (IDF). ITSF is associated with a short circuit in stator winding turns in the same phase of the machine, while IDF is associated with the weakening strength of the PM in the rotor. A detailed literature review of different categories of fault indexes and their strengths and weaknesses is presented. The research trends in the fault diagnosis and the shortcomings of available literature are discussed. Moreover, potential research directions and techniques applicable for possible solutions are also extensively suggested.

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Section: Parameter Estimation Based Detection Techniquesmentioning

confidence: 99%

A Comprehensive Review of Winding Short Circuit Fault and Irreversible Demagnetization Fault Detection in PM Type Machines

Ullah

Hur

2018

Energies

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“…The fault index could diagnose the ISCF and fault degree of PMSMs. In [23], two open-loop observers and an optimization method based on a particle-swarm were presented to detect the ISCFs of PMSMs. The q-axis current was used for estimating the fault phase, the values of G and the q-axis inductance, in which G was related to the resistance of stator windings, the resistance of short-circuited turns and the ratio of the number of shorted turns to the number of total turns.…”

Section: Introductionmentioning

confidence: 99%

On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors

Chen

Yong-huan

2018

Energies

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In the aerospace and military fields, with high reliability requirements, the dual-redundancy permanent magnet synchronous motor (DRPMSM) with weak thermal coupling and no electromagnetic coupling is needed. A common fault in the DRPMSM is the inter-turn short circuit fault (ISCF). However, research on how to diagnose ISCF and the set of faulty windings in the DRPMSM is lacking. In this paper, the structure of the DRPMSM is analyzed and mathematical models of the motor under normal and faulty conditions are established. Then an on-line ISCF detection scheme, which depends on the running modes of the DRPMSM and the average values for the difference of the d-axis voltages between two sets of windings in the latest 20 sampling periods, is proposed. The main contributions of this paper are to analyze the calculation for the inductance of each part of the stator windings and propose the on-line diagnosis method of the ISCF under various operating conditions. The simulation and experimental results show that the proposed method can quickly and effectively diagnose ISCF and determine the set of faulty windings of the DRPMSM.

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“…In developed countries, much of the energy consumed by the industry is due to motor systems; among these, three-phase induction motors are dominant because of their robustness and easy maintenance [1,2,3,4,5,6]. The condition-based maintenance approach uses real-time data, determines the equipment’s health, optimizes maintenance resources and improves the system reliability.…”

Section: Introductionmentioning

confidence: 99%

A Wireless Sensor System for Real-Time Monitoring and Fault Detection of Motor Arrays

Medina-García

Sánchez-Rodríguez

Gómez-Galán

et al. 2017

Sensors

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This paper presents a wireless fault detection system for industrial motors that combines vibration, motor current and temperature analysis, thus improving the detection of mechanical faults. The design also considers the time of detection and further possible actions, which are also important for the early detection of possible malfunctions, and thus for avoiding irreversible damage to the motor. The remote motor condition monitoring is implemented through a wireless sensor network (WSN) based on the IEEE 802.15.4 standard. The deployed network uses the beacon-enabled mode to synchronize several sensor nodes with the coordinator node, and the guaranteed time slot mechanism provides data monitoring with a predetermined latency. A graphic user interface offers remote access to motor conditions and real-time monitoring of several parameters. The developed wireless sensor node exhibits very low power consumption since it has been optimized both in terms of hardware and software. The result is a low cost, highly reliable and compact design, achieving a high degree of autonomy of more than two years with just one 3.3 V/2600 mAh battery. Laboratory and field tests confirm the feasibility of the wireless system.

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Robust Diagnosis Method Based on Parameter Estimation for an Interturn Short-Circuit Fault in Multipole PMSM under High-Speed Operation

Cited by 13 publications

References 19 publications

A Comprehensive Review of Winding Short Circuit Fault and Irreversible Demagnetization Fault Detection in PM Type Machines

A Comprehensive Review of Winding Short Circuit Fault and Irreversible Demagnetization Fault Detection in PM Type Machines

On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors

A Wireless Sensor System for Real-Time Monitoring and Fault Detection of Motor Arrays

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