Online Voltage Sensorless High-Resistance Connection Diagnosis in Induction Motor Drives

Barrera, Pablo M. de la; Bossio, Guillermo R.; Leidhold, Roberto

doi:10.1109/tie.2014.2385038

Cited by 28 publications

(14 citation statements)

References 26 publications

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“…Since the modulation index is directly related to the operating conditions, the dependence of the fault indicator on the operating conditions can be greatly reduced. Ideally, this high frequency based fault indicator is zero in healthy conditions in theory, shown in (17). In the turn fault and HRC fault conditions, the fault indicators are expressed in ( 18) and ( 19) respectively, according to (11) To roughly compare the fault indicators in the two fault conditions, the following representative estimations are made with reference to the 9-phase triple redundant fault tolerant machine under test.…”

Section: High Resistance Connection (Hrc) Faultmentioning

confidence: 99%

“…The detection for the HRC fault can be based on the phase resistance estimation by applying voltage phasor steps when the machine is at standstill [16], or by additional dc currents injection in stationary reference frame when the machine is in operation [17]. However, the increasing loss associated with such detections is the main concern.…”

Section: Introductionmentioning

confidence: 99%

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Detection and Classification of Turn Fault and High Resistance Connection Fault in Permanent Magnet Machines Based on Zero Sequence Voltage

Wang

Mills

et al. 2020

IEEE Trans. Power Electron.

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Section: High Resistance Connection (Hrc) Faultmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection and Classification of Turn Fault and High Resistance Connection Fault in Permanent Magnet Machines Based on Zero Sequence Voltage

Wang

Mills

et al. 2020

IEEE Trans. Power Electron.

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“…As is known, many fault diagnosis methods are proposed for the PMSM drive system, mainly focusing on short-circuit fault [6]- [9], static/dynamic eccentricity [10]- [14], partial/ uniform demagnetization [15]- [18], and open phase fault [19]- [21], while the HRC is rarely researched for the PMSM. The studies on the HRC firstly started with induction machine (IM), and they were mainly dependent on voltage drop survey [22], upstream impedance measurement [23], infrared thermograph [24], multi-reference frame controller [25], inverse negative sequence regulator [26], current [27], [28] and voltage [29], [30]. Nowadays, a few literatures begin to focus on the HRC fault diagnosis in the PMSM drive system.…”

Section: Introductionmentioning

confidence: 99%

“…Since 2016, he has been with Anhui University, Hefei, China, where he is currently an Associate Professor with the School of Electrical Engineering and Automation. He has authored and co-authored over 30…”

mentioning

confidence: 99%

Quantitative Fault Severity Estimation for High-Resistance Connection in PMSM Drive System

et al. 2019

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In this paper, a fault severity estimation method is presented for high-resistance connection (HRC) in a permanent magnet synchronous machine drive system, being dependent upon the zero sequence voltage component (ZSVC) and stator currents. According to the relationship between the stator current, ZSVC and resistance deviations, a bivariate quadratic equation group is established with regard to the resistance deviations caused by HRC. The resistance deviations are obtained by solving the equation group. Based on the obtained resistance deviations, not only the fault is diagnosed and the faulty phase is identified, but also the HRC fault severity is estimated. Both the simulation and experiment are studied to validate the fault severity estimation method. The results verify the effectiveness and robustness of the proposed fault severity estimation method. INDEX TERMS High-resistance connection, permanent magnet synchronous machine, fault severity estimation, zero sequence voltage component. NOMENCLATURE u a , u b , u c Three-phase stator voltages u 0,m ZSVC between the artificial neutral point and the neutral center of the stator windings i a , i b , i c Three-phase stator currents R a , R b , R c Three-phase stator resistances R s Stator resistance as the PMSM is healthy R m Mean value of three-phase stator resistances. R n Resistance in three-phase balanced resistor network. R Resistance deviation δR j Processed resistance deviation L Stator phase self-inductance M Mutual-inductance between the stator phases d x Angle differences θ Rotor electrical position θ v Angle between the fundamental component and vth harmonic component The associate editor coordinating the review of this manuscript and approving it for publication was Baoping Cai.

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“…The asymmetrical supply problems can be caused by high-resistance connections between the circuit driver and the electric motor [16,17]. It was pointed out in [18][19][20] that the high-resistance connections can be produced by contact surface contamination, corrosion/oxidation of the connectors, pitted/worn/rough connector surface, under/overtightening of connectors, mismatch between connectors, or looseness of connectors due to vibration and thermal cycling.…”

mentioning

confidence: 99%

An Online Non-Invasive Condition Monitoring Method for Stepping Motor CRDM in HTGR

Bakhri

Ertugrul

2016

Atom Indo.

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Control Rod Drive Mechanism (CRDM) based on stepping motor is one of the components applied in High Temperature Gas Coold Reactor (HTGR) to control the reactivity as well as to maintain the safety of reactor. The stepping motor requires a unique condition monitoring to avoid any failures especially due to the specific environments of CRDM in HTGR such as the allowable of high temperature, high radiation and the location of stepper motor inside a pressure shell. This research aims to demonstrate an online non-invasive condition monitoring method without direct access to the CRDM of HTGR based on voltage and stator current measurements. A simple stepping motor CRDM simulator is employed. The online condition monitoring is carried out by direct pattern matching of the output signals of logic generator block and the output signals of motor driver. The online method utilizes signature patterns of voltage and stator current signals of the healthy motor as a baseline for healthy motor. In addition, the method is applied to detect highresistance problem on the connector between the motor driver block and the stepper motor to show the effectiveness and the applicability of this method. The online condition monitoring system demonstrates a capability to identify a minimum detectable simulated high-resistance for about 2.9% which decreases the measured stator current and motor's torque for around 5.1% and 3.3%, respectively. The paper also points out signatures of healthy motor, including mutual inductions of the motor's winding in voltage and current measurement which can be used as the fault symptom indicators for online monitoring purposes.

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Online Voltage Sensorless High-Resistance Connection Diagnosis in Induction Motor Drives

Cited by 28 publications

References 26 publications

Detection and Classification of Turn Fault and High Resistance Connection Fault in Permanent Magnet Machines Based on Zero Sequence Voltage

Detection and Classification of Turn Fault and High Resistance Connection Fault in Permanent Magnet Machines Based on Zero Sequence Voltage

Quantitative Fault Severity Estimation for High-Resistance Connection in PMSM Drive System

An Online Non-Invasive Condition Monitoring Method for Stepping Motor CRDM in HTGR

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