Open Phase Fault Analysis of a Three-Phase Induction Motor

Singh, Priyanka; Dash, Ratnakar; Panigrahi, Chinmoy Kumar

doi:10.1007/978-981-15-7504-4_9

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…These algorithms allow the right actions to be taken at the right time, thus preventing more serious situations from occurring. Several research studies have been conducted in the area of the motor protection from the open-phase faults [22][23][24][25][26][27][28][29][30][31]. Fault detection algorithms can be classified into two categories based on the speed of fault detection in relation to the time it takes to identify the fault after it has occurred: slow and fast methods [8].…”

Section: Introductionmentioning

confidence: 99%

Detection and Classification of Phase Failure Faults for a Three-Phase Induction Motor Using Algorithm Based on Rules Derived From Simulation of These Faults

Dawood,

Hasaneen,

Mahmoud

2024

Journal of Al-Azhar University Engineering Sector

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A three-phase induction motor (IM) is one of the most widely used motors in various industrial and commercial applications due to its reliability, robustness, simplicity, low maintenance...etc. Despite its many features, it is exposed to many faults that affect its performance and may cause damage and burning of its coils. Among these faults is opening of phase during its operation which leads to an increase in the temperature of its windings. In this research, a highly efficient algorithm is designed to detect and classify 19 different types of open phase faults. This algorithm is based on rules or conditions derived from simulating the different types of open phase faults in three motor modes (steady-state, transient, and standstill modes). The proposed algorithm uses the per-unit values of the phase voltages, line currents and speed as well of the motor and thus can be applied to different motors. The proposed algorithm has been designed and tested using the simulink window in MATLAB software. All test results proved that the proposed algorithm works very efficiently and is characterized by its speed and high accuracy in detecting these faults. Therefore, it can be used and integrated within the main protection system of a 3-phase IM to detect and classify the various open phase faults.

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Section: Introductionmentioning

confidence: 99%

Detection and Classification of Phase Failure Faults for a Three-Phase Induction Motor Using Algorithm Based on Rules Derived From Simulation of These Faults

Dawood,

Hasaneen,

Mahmoud

2024

Journal of Al-Azhar University Engineering Sector

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Design of an efficient neural network model for detection and classification of phase loss faults for three-phase induction motor

Dawood,

Hasaneen,

Abdel-Aziz

2024

Neural Comput & Applic

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In industrial applications, three-phase induction motors (IMs) are widely used, and they are subjected to many types of faults. One such fault is the loss of a motor phase caused by a blown fuse, a broken wire, mechanical damage, etc. When this fault occurs during motor operation, it continues to rotate but experiences rapid heating, which can ultimately lead to motor failure. Therefore, various protection devices are available to protect the motor against this fault, but most traditional protection devices do not offer a comprehensive classification of such a fault. So, in this paper, an efficient neural network model is presented for detecting and classifying 12 types of phase loss faults for a three-phase induction motor (IM) based on factors such as the unhealthy phase, fault location, and motor action modes (standstill, transient, and steady-state modes). Thus, the main goal of this work is to determine the motor mode during the fault, the defective phase, and its location to help the maintenance team repair the fault quickly. The system is simulated and tested using the “MATLAB/Simulink” software, employing a feed-forward neural network. The simulation results demonstrate that the proposed network achieves correct detection and classification of phase loss faults within a short time frame from the occurrence of the fault. Therefore, the proposed network model proves to be a simple and reliable solution for integration into the protection system of a three-phase IM, enabling the detection and classification of various phase loss faults.

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An Efficient Protection Scheme Against Single-Phasing Fault for Three-Phase Induction Motor

Dawood,

Ismeil,

Hussein

et al. 2024

IEEE Access

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The loss of one phase of a three-phase Induction Motor (IM) is one of the main causes of motor failure due to overheating. Several protection devices protect IM against this fault, but the majority of conventional devices lack a thorough classification of this type of fault. So, this paper introduces a highefficiency protection scheme to detect and classify in detail 15 types of faults that can occur due to a phase loss of a three-phase IM. These faults are classified according to the defective phase, fault location either from the power source or beyond the relay point, and motor action modes (standstill mode, transient mode, and steady state mode). One of the advantages of the presented protection method is that it is suitable for many motors because the inputs to the proposed scheme are the per-unit values of both RMS line-line voltages and line currents. The proposed scheme has been validated and tested using MATLAB Simulink under normal conditions and different faults for phase loss, during and after disconnecting the motor, and after pushing the restart button. The simulation results show that the proposed scheme behaves with high efficiency and it is able to detect and classify correctly the phase loss faults for three-phase IM within 1.5 cycles (30 ms) of the fault inception. Thus, the proposed scheme can be used as a simple and reliable scheme in the protection system of a 3-phase IM to detect and classify the different types of phase loss faults.

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Open Phase Fault Analysis of a Three-Phase Induction Motor

Cited by 3 publications

References 11 publications

Detection and Classification of Phase Failure Faults for a Three-Phase Induction Motor Using Algorithm Based on Rules Derived From Simulation of These Faults

Detection and Classification of Phase Failure Faults for a Three-Phase Induction Motor Using Algorithm Based on Rules Derived From Simulation of These Faults

Design of an efficient neural network model for detection and classification of phase loss faults for three-phase induction motor

An Efficient Protection Scheme Against Single-Phasing Fault for Three-Phase Induction Motor

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