Detection of Inter-turn Short-circuit Fault in Induction Motor Using Theory of Instantaneous Symmetrical Components
01 Dec 2006-pp 460-464
TL;DR: In this article, a noninvasive approach using the theory of instantaneous symmetrical component is introduced, which can be done by various conventional methods are discussed here, and the simulation and experimental results are reported to demonstrate the effectiveness of the proposed technique.
Abstract: The use of electric motors in industry is extensive. These motors are exposed to a wide variety of environments and conditions, which age the motor and make it subject to inter-turn incipient faults. Stator winding is the heart of machine. Therefore, it is always essential to check winding performance from time to time. This can be done by various conventional methods are discussed here, and noninvasive approach, using the theory of instantaneous symmetrical component is introduced. The simulation and experimental results are reported to demonstrate the effectiveness of the proposed technique.
Citations
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TL;DR: In this paper, a coupled experimental-mathematical inverse problem based methodology for the detection of interturn faults in an asynchronous induction machine is presented, which is accomplished by interpreting well-defined measurements into the machine mathematical model.
Abstract: In this paper, a coupled experimental–mathematical inverse problem based methodology for the detection of interturn faults in an asynchronous induction machine is presented. The fault detection is accomplished by interpreting well-defined measurements into the machine mathematical model. First, the studied machine is modeled by means of a dynamic state-space model in the $abc$ reference frame. This model simulates the machine behavior under healthy and faulty cases in both transient and steady-state conditions. The signature of the interturn fault is captured using the magnetic pendulous oscillation technique. The proposed inverse problem is validated numerically and experimentally. The results show the robustness of the proposed scheme against the measurement noise.
26 citations
26 Mar 2015
TL;DR: In this article, a coupled experimental-mathematical inverse problem based methodology for the detection of inter-turn faults in an asynchronous induction machine is presented, which is accomplished by interpreting well-defined measurements into the machine mathematical model.
Abstract: In this paper, a coupled experimental-mathematical inverse problem based methodology for the detection of inter-turn faults in an asynchronous induction machine is presented The fault detection is accomplished by interpreting well-defined measurements into the machine mathematical model First, the studied machine is modeled by means of a dynamic state-space model in the abc reference frame This model simulates the machine behavior under healthy and faulty cases in both transient and steady-state conditions The signature of the inter-turn fault is captured using the magnetic pendulous oscillation technique The proposed inverse problem is validated numerically and experimentally The results show the robustness of the proposed scheme against the measurement noise
17 citations
Patent•
07 Nov 2012
TL;DR: In this paper, a method, system and computer software for detecting an incipient failure of a generator in a power system including the steps of ascertaining one or more generator reference parameter of the generator for use as a baseline reference, measuring one of the operating parameter values of generator, and using the one of these operating parameters to solve for an estimated present value of generator's current performance parameters using particle swarm optimization technique.
Abstract: A method, system and computer software for detecting an incipient failure of a generator in a power system including the steps of ascertaining one or more generator reference parameter of the generator for use as a baseline reference; measuring one or more operating parameter values of the generator; using the one or more operating parameter values to solve for an estimated present value of the one or more of the generator's current performance parameters using particle swarm optimization technique; and determining whether the estimated present values of the one or more of the generator's current performance parameters are outside of an acceptable limit.
16 citations
01 Nov 2015
TL;DR: In this article, the analysis of inter-turn windings faults of a permanent magnet synchronous motor is presented, where the stator windings are resolved into harmonic conductor density distributions allowing the calculation of coupling impedances in the machine.
Abstract: This paper addresses the analysis of inter-turn winding faults of a permanent magnet synchronous motor. The analysis methodology used to study inter-turn windings faults is based on the use of linear coupled circuits. The stator windings are resolved into harmonic conductor density distributions allowing the calculation of coupling impedances in the machine. Instantaneous Park's vector module was used as a diagnostic tool for incipient winding faults in steady-state operation of the permanent magnet synchronous motor.
3 citations
Dissertation•
13 Dec 2013
TL;DR: In this article, an analytical model is proposed to evaluate the inter-turn shortcircuit (SC) fault current accounting for the location in the slot of the short-circuited turn(s).
Abstract: The research described in this thesis focuses on the mitigation of inter-turn short-circuit (SC) faults in Fault tolerant Permanent Magnet (FT-PM) machines. An analytical model is proposed to evaluate the inter-turn SC fault current accounting for the location in the slot of the short-circuited turn(s). As a mitigation strategy to SC faults at the design stage, a winding arrangement called VSW (Vertically placed Strip Winding) is proposed and analysed. The proposed analytical model is benchmarked against finite element (FE) calculation and validated experimentally. The results demonstrate that the proposed winding arrangement in the slot improves the fault tolerance (FT) capability of the machine by limiting the inter-turn SC fault current regardless the fault location in the slot.
Electromagnetic and thermal studies are conducted to verify the merits and drawbacks of the proposed winding compared to the conventional winding using round conductors (RCW). The study shows that the proposed winding scheme, in addition to being fault-tolerant, has an improved bulk radial conductivity, can achieve a good fill factor, but has a significantly higher frequency-dependent AC copper loss. To predict the AC losses an analytical model based on an exact analytical 2D field solution is proposed. This model consists of first solving the two-dimensional magneto-static problem based on Laplace’s and Poisson’s equations using the separation of variables technique. Then, based on that solved solution, by defining the tangential magnetic field (Ht) at the slot opening radius, Helmholtz’ equation is solved in the slot sub-domain.
Subsequently, an FE and MATLAB® coupled parametric design is undertaken to maximise the VSW wound machine’s efficiency whilst maintaining its FT capability. The proposed analytical models for prediction of the SC fault current and AC copper losses are integrated into the coupled optimisation. It is shown that the effective losses of the VSW can be minimised through the parametric design while maintaining the required level of machine performance. Using an existing FT-PM machine of which the rotor is kept unchanged two stators were designed, manufactured and wound with RCW and VSW respectively and experimental tests are carried out to validate the analytical models and the new winding concept.
1 citations
Additional excerpts
...However, in this chapter importance is not given to detection methods [8-11, 13, 15, 23-26], key importance is given to the proposed fault-tolerant methods for SC faults in the literature and their trade-off....
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References
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TL;DR: In this paper, the industrial application of motor current signature analysis (MCSA) to diagnose faults in three-phase induction motor drives is discussed, which is a noninvasive, online monitoring technique for the diagnosis of problems in induction motors.
Abstract: Three-phase induction motors are the "workhorses" of industry and are the most widely used electrical machines. In an industrialized nation, they can typically consume between 40 to 50% of all the generated capacity of that country. This article focuses on the industrial application of motor current signature analysis (MCSA) to diagnose faults in three-phase induction motor drives. MCSA is a noninvasive, online monitoring technique for the diagnosis of problems in induction motors. Reliability-based maintenance (RBM) and condition-based maintenance (CBM) strategies are now widely used by industry, and health monitoring of electrical drives is a major feature in such programs.
1,054 citations
"Detection of Inter-turn Short-circu..." refers methods in this paper
...The techniques such as those based on the spectral analysis of ia= ima sin(ot) the motor current [4, 5, 6], frame vibration [7], or the axial ib= imb sin(cot-2 z13+0b) (1) leakage flux [8] have been proposed....
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03 Jun 1991
TL;DR: In this article, the authors attempt to identify the various causes of stator and rotor failures in three-phase squirrel cage induction motors, and a specific methodology is proposed to facilitate an accurate analysis of these failures.
Abstract: The authors attempt to identify the various causes of stator and rotor failures in three-phase squirrel cage induction motors. A specific methodology is proposed to facilitate an accurate analysis of these failures. It is noted that, due to the destructive nature of most failures, it is not easy, and is sometimes impossible, to determine the primary cause of failure. By a process of elimination, one can usually be assured of properly identifying the most likely cause of the failure. It is pointed out that the key point in going through this process of elimination is to use the basic steps of analyzing the failure class and pattern, noting the general motor appearance, identifying the operating condition at the time of failure, and gaining knowledge of the past history of the motor and application. >
603 citations
TL;DR: In this article, a theory to predict changes in axial leakage flux resulting from stator winding interturn shorts and an algorithm to locate the position of the faulted coil was developed.
Abstract: One major cause of motor failures is breakdown of the turn insulation leading to puncture of the groundwall. Early detection of interturn shorts during motor operation would eliminate consequential damage to adjacent coils and the stator core reducing repair costs and motor outage time. In addition to the benefits gained from early detection of turn insulation breakdown, significant advantages would accrue by locating the faulted coil within the stator winding. Fault location would not only increase the speed of the repair, but would also permit more optimal scheduling of the repair outage. This work was successful in practically implementing a theory to predict changes in the axial leakage flux resulting from stator winding interturn shorts and in developing an algorithm to locate the position of the faulted coil. An experimental setup consisting of a 200 hp motor loaded by a generator was used to validate this theory. Suitable transducers were developed and installed on this motor. Measurement using this experimental configuration clearly validated the theoretical model. On the basis of this experimental work an instrument to continuously monitor for shorted turns is under development. >
395 citations
18 May 1997
TL;DR: In this article, a noninvasive approach, based on the computer-aided monitoring of the stator current Park's vector, is introduced for detecting inter-turn stator winding faults in operating three-phase induction machines.
Abstract: The subject of on-line detection and location of inter-turn short circuits in the stator windings of three-phase induction motors is discussed, and a noninvasive approach, based on the computer-aided monitoring of the stator current Park's vector, is introduced. Experimental results, obtained by using a special fault producing test rig, demonstrate the effectiveness of the proposed technique, for detecting inter-turn stator winding faults in operating three-phase induction machines. On-site tests conducted in a power generation plant, using the diagnostic instrumentation system developed, are also reported.
297 citations
TL;DR: In this paper, the authors proposed a fuzzy approach based on the stator current Concordia patterns, which can be used for accurate stator fault diagnosis if the input data are processed in an advantageous way, which is the case of the Concordia pattern.
Abstract: This paper deals with the problem of detection and diagnosis of induction motor faults. Using the fuzzy logic strategy, a better understanding of heuristics underlying the motor faults detection and diagnosis process can be achieved. The proposed fuzzy approach is based on the stator current Concordia patterns. Induction motor stator currents are measured, recorded, and used for Concordia patterns computation under different operating conditions, particularly for different load levels. Experimental results are presented in terms of accuracy in the detection of motor faults and knowledge extraction feasibility. The preliminary results show that the proposed fuzzy approach can be used for accurate stator fault diagnosis if the input data are processed in an advantageous way, which is the case of the Concordia patterns.
179 citations