A Simple and Efficient Current-Based Method for Interturn Fault Detection in BLDC Motors

Jafari, Ahmad; Faiz, Jawad; Jarrahi, Mohammad Amin

doi:10.1109/tii.2020.3009867

Cited by 31 publications

(22 citation statements)

References 19 publications

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“…However, analysis of electrical currents is limited to several types of faults, namely: broken bars, shorted coils, overvoltages. Several methods for the analysis of electrical currents have been suggested [ 1 , 2 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Głowacz

2021

Sensors

145

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The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means of infrared (IR) thermography and IR image processing. An innovative method called BCAoMID-F (Binarized Common Areas of Maximum Image Differences—Fusion) is proposed in this paper. This method is used to extract features of thermal images of three angle grinders. The computed features are 1-element or 256-element vectors. Feature vectors are the sum of pixels of matrix V or PCA of matrix V or histogram of matrix V. Three different cases of thermal images were considered: healthy angle grinder, angle grinder with 1 blocked air inlet, angle grinder with 2 blocked air inlets. The classification of feature vectors was carried out using two classifiers: Support Vector Machine and Nearest Neighbor. Total recognition efficiency for 3 classes (TRAG) was in the range of 98.5–100%. The presented technique is efficient for fault diagnosis of electrical devices and electric power tools.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Głowacz

2021

Sensors

145

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“…The current-based Interturn Fault Detection approach for BLDC motors has been introduced in [29]. The work of [29] focused on detecting the internal faults in the motor due to the parameters change; the proposed method uses modal current and four indices namely: moving mean, variance, and signal energy, and auxiliary correlation.…”

Section: Iiliterature Surveymentioning

confidence: 99%

Observer-Based Fault Detection Approach Using Fuzzy Adaptive Poles Placement System With Real-Time Implementation

et al. 2021

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The conventional methods of observer poles placement in sensor fault detection usually adopt the trial-and-error methods. These methods cannot achieve global optimal performance because of their fixed poles placement and it leads to an observer with constant parameters, which could be reducing the system performance. Therefore, this paper proposes a fuzzy-based observer tuning method to optimize and adapt the selection of poles locations to determine the optimal gains of the observer, and it is experimentally applied to a composite sensor fault detection. Fuzzy logic is a promising method that could overcome the trial-and-error method challenges by introducing better adaptation and system robustness. The proposed observer structure includes adaptive tuning corresponding to an unknown input. Utilizing self-tuning for the observer correction stage, the gain is going to be updated online using the proposed fuzzy adaptive poles placement (FAPP) system. This paper validated the system simulation by implementing fault detection algorithms by using a real-time embedded observer-based system. The experimental results demonstrate the effectiveness of the proposed fuzzy-based observer schemes at detecting sensor faults in the Brushless DC (BLDC) motors, with significantly better performance than conventional counterparts' methodologies. The experiments indicate that the average estimation error is 0.146, which less by 43.8% than was obtained for high levels of noise and disturbances compared with the traditional Luenberger observer approach.

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“…It can be well validated that for the corresponding L sf values the stator winding current increases from the healthy operating values (5.2 A) to more than 10 A and the motor back‐EMF decreases with respect to the short circuit winding percentage (33.3%), as shown in Figure 15c–e. The rise in I s corresponds to the L sf and the fault current i f , which can be estimated from () and more illustrative detail can be referred in [21–24].

R_{a 2} i_{a} + (L_{a 2} + M_{a 1 a 2} - M_{a 2 b}) \frac{d i_{a}}{d t} + M_{a 2 b} \frac{d i_{b}}{d t} + M_{a 2 c} \frac{d i_{c}}{d t} + e_{a 2} = (R_{a 2} + R_{f}) i_{f} + L_{a 2} \frac{d i_{f}}{d t} + M_{a 2 b} \frac{d i_{b}}{d t} + M_{a 2 c} \frac{d i_{c}}{d t} + e_{a 2} = (R_{a 2} + R_{f}) i_{f} + L_{a 2} + \frac{d i_{f}}{d t}

…”

Section: Remodelling Of Winding Inductances and Magnetic Fields In A Hybrid Bldc Motormentioning

confidence: 99%

Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance

Usman

Rajpurohit

2020

IET Electrical Syst in Trans

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The high‐performance characteristics of brushless direct current (BLDC) motor has made them indispensable for electric vehicle (EV) applications. The physical replacement of rotor windings with the permanent magnets on the rotor, makes the BLDC motor more compact, generating high torque‐power density. However, the continuous operation of BLDC motors in EVs make them vulnerable to faults. Develops the surface mounted permanent magnet‐type BLDC motor under healthy and fault conditions using remodelling of stator winding inductances and rotor magnetic fields of a machine. The stator winding inductance (LS) is modelled using winding function theory depending on the physical distribution of a winding, while the rotor magnetic field (Bg) is modelled through magnetic equivalent circuit based approach, respectively. Both the machine quantities under healthy operating conditions are estimated based on the motor geometry and validated numerically using finite element based methods. The experimental investigation validates the results obtained through given modelling techniques. The experimental and numerically obtained data of LS and Bg are then remodelled in a BLDC motor, to investigate the hybrid performance of a machine, useful in diagnosis of faults. The results obtained are further used to classify the faults and estimate its severity.

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A Simple and Efficient Current-Based Method for Interturn Fault Detection in BLDC Motors

Cited by 31 publications

References 19 publications

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Observer-Based Fault Detection Approach Using Fuzzy Adaptive Poles Placement System With Real-Time Implementation

Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance

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