Simulation of Broken Rotor Bar Fault by Asymmetric Induction Motor Model

Djagarov, Nikolay; Enchev, Georgi; Djagarova, Julia

doi:10.1109/diagnostika55131.2022.9905121

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…A universal asymmetric mathematical model for simulating marine induction motor faults, particularly rotor core breakage faults, to aid in centralized control and diagnosis of marine electrical equipment was presented by Dzhagarov et al [9]. However, there may be limitations in extrapolating experimental results to real shipboard conditions, given the complexity of shipboard environments and potential variations in fault manifestations.…”

Section: Related Workmentioning

confidence: 99%

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Diagnostics of Damage to the Rotor of an Induction Machine Using the Method of Instantaneous Power Analysis

Puka,

Bardhi,

Pjetri

et al. 2024

QAJ

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The relevance of the problem under study is that in the modern world, where induction machines are widely used in industry, early detection of rotor damage using the method of instantaneous power analysis is critical to maintaining uninterrupted equipment operation and reducing operating costs. The purpose of this study is to investigate and determine the effectiveness of the method of instantaneous power analysis for diagnosing rotor damage in induction machines to improve their reliability and reduce the risk of production failures. The methods used include the analytical method, classification method, functional method, statistical method, synthesis method. In today’s industry, asynchronous machines play a central role, creating a high demand for their reliable and safe operation. Malfunctions and failures in the operation of these machines can lead to serious downtime and considerable losses that affect the financial position of the company. One method of accurate fault diagnosis is to analyses the theoretical components added to the motor current. The analysis revealed that the locus of the space vector, instantaneous power, and sideband frequencies around the fundamental frequency indicate possible broken rotor cores of an induction machine. These components become key indicators for fault detection in induction machines. Furthermore, the experiments on a three-phase squirrel-cage induction confirmed the theoretical analysis, reinforcing the practical significance of the developed methodology for early diagnosis and improving equipment reliability, as well as reducing maintenance and repair costs. The practical significance lies in the development of a methodology that can be used in the industry for early diagnosis of rotor damage in induction machines, ensuring increased equipment reliability and reduced maintenance and repair costs.

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Section: Related Workmentioning

confidence: 99%

“…The interaction of magnetic flux and the rotor bar currents generates an electromagnetic torque. The space vector of voltage and currents of stator winding also the space vector of rotor currents according stator reference frame can be expressed as follows (9)(10)(11):…”

Section: A Characterization Of Induction Motorsmentioning

confidence: 99%

Diagnostics of Damage to the Rotor of an Induction Machine Using the Method of Instantaneous Power Analysis

Puka,

Bardhi,

Pjetri

et al. 2024

QAJ

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“…( ) sin (2 ) x t t π = First, the prediction performance of the FLP model with restricted memory samples is compared, where the values of M are set to 2, 3, and 4. The corresponding fractional derivative order α is set as the reciprocal of the memory samples, which represents the optimal fractional derivative order [33].…”

Section: Determination Of the Flp Modelmentioning

confidence: 99%

“…At present, the failure of the IM is the biggest factor for health and stability. Among the various fault types of the motor, there are bearing faults, stator winding faults, rotor faults, and others [ 2 , 3 ]. The majority (45–55%) of motor failures are related to bearings, including generalized roughness and single-point bearing faults [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

A Current Noise Cancellation Method Based on Fractional Linear Prediction for Bearing Fault Detection

Xu,

Song

2023

Sensors

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The stator current in an induction motor contains a large amount of information, which is unrelated to bearing faults. This information is considered as the noise component for the detection of bearing faults. When there is noise information in the current signal, it can affect the detection of motor bearing faults and lead to the possibility of false alarms. Therefore, to accomplish an effective bearing fault detection, all or some of these noise components must be properly eliminated. This paper proposes the use of fractional linear prediction (FLP) as a noise elimination method in bearing fault diagnosis, which makes these noise components the predictable components and this bearing fault information the unpredictable components. The basis of the FLP is to eliminate noise components in the current signal by predicting predictable components through linear prediction theory and optimal prediction order. Meanwhile, this paper adopts the FLP model with limited memory samples. After determining the optimal number of memories, only the fractional derivative order parameter needs to be optimized, which greatly reduces the computational complexity and difficulty in parameter optimization. In addition, this paper uses spectral analysis of the current signals through experimental simulation to compare the FLP method with the linear prediction (LP) method and the time-shifting (TS) method that have been successfully applied to bearing fault diagnosis. Based on the analysis results, the FLP method can better extract fault features and achieve better bearing fault diagnosis results, verifying the effectiveness and superiority of the FLP method in the field of bearing fault diagnosis. Additionally, the predictive performance of thevFLP and LP was compared based on experimental data, verifying the advantages of the FLP method in predictive performance, indicating that this method has a better noise cancellation effect.

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