An Alternative Approach for the Detection of Broken Rotor Bars and Bearing Faults of Induction Motor Based on Vibration Signals

Kabul, Ahmet; Ünsal, Abdurrahman

doi:10.1109/iceee52452.2021.9415920

Cited by 9 publications

(3 citation statements)

References 21 publications

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“…The second step is the Hilbert transform. The Hilbert transform is widely used to detect the faults in induction motors [2,22,28]. Suppose that 𝑥(𝑡) is a real time signal, the Hilbert transform of 𝑥(𝑡) is given as follows ( 2)…”

Section: Hilbert Envelope Analysismentioning

confidence: 99%

Metrology and Measurement Systems

Kabul,

Ünsal

2021

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Three phase induction motors are widely used in industrial processes and condition monitoring of these motors is especially important. Broken rotor bars, eccentricity and bearing faults are the most common types of faults of induction motors. Stator current and/or vibration signals are mostly preferred for the monitoring and detection of these faults. Fourier Transform (FT) based detection methods analyse the characteristic harmonic components of stator current and vibration signals for feature extraction. Several types of simultaneous faults of induction motors may produce characteristic harmonic components at the same frequency (with varying amplitudes). Therefore, detection of multiple faults is more difficult than detection of a single fault with FT based diagnosis methods. This paper proposes an alternative approach to detect simultaneous multiple faults including broken rotor bars, static eccentricity and outer/inner-race bearing faults by analysing stator current and vibration signals. The proposed method uses Hilbert envelope analysis with a Normalized Least Mean Square (NLSM) adaptive filter. The results are experimentally verified under 25%, 50%, 75%, 100% load conditions.

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Section: Hilbert Envelope Analysismentioning

confidence: 99%

Metrology and Measurement Systems

Kabul,

Ünsal

2021

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“…The most popular and widespread diagnostic methods used in the detection and classification of interturn short circuits of electrical machines are motor current signature analysis (MCSA) [21][22][23][24], motor vibration signature analysis (MVSA) [25][26][27], the Park vector approach (PVA) [28][29][30], or wavelet transform (WT) [31,32]. These techniques allow for noninvasive analysis of a diagnostic signal without having to turn off the machine, and thus without interrupting the current operating state of the machine.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks

Pietrowski,

Górny

2024

Energies

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The objective of the investigation was to increase the effectiveness of damage detection in the stator of the squirrel-cage induction machine. The analysis aimed to enhance the operational trustworthiness of the squirrel-cage induction machine by employing nonintrusive diagnostic methods based on a current signal and modern artificial intelligence methods. The authors of the study introduced a diagnostic technique for identifying multiphase interturn short circuits of stator winding. These short circuits are one of the most common faults in induction machines. The proposed method focusses on deriving a diagnostic signal from the phase-current waveforms of the machine. The noninvasive nature of the diagnostic technique presented is attributed to the application of the field model of electromagnetic phenomena to determine the diagnostic signal. For this purpose, a field model of a squirrel-cage machine was developed. The waveforms of phase currents obtained from the field model were used as input into an elaborated machine failure neural classifier. A deep neural network was used to develop a neural classifier. The effectiveness of the developed classifier has been experimentally verified, and the obtained results have been presented, concluded, and discussed. The scientific novelty presented in the article is the presentation of research results on the use of a neural classifier to detect damage in all phases of the stator winding at an early stage of its appearance. The features of this type of damage are very difficult to observe in signal waveforms such as a phase current or torque.

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“…Bu çalışmada DRAMAK üzerine yapılan çalışmalara odaklanılmış ve yeni bir DRAMAK modeli sunulmuştur. Üç fazlı sincap kafesli asenkron motorlar, düşük maliyetli, uygulama kolaylığı, esneklik ve zorlu ortamlarda güvenilirliği nedeniyle endüstride yaygın olarak kullanılan sağlam bir makinedir [1,2]. Günümüzde geleneksel İç Rotorlu Asenkron Motorlar (İRAM) birçok alanda yaygın olarak kullanılmaktadır.…”

Section: Giriş (Introduction)unclassified

Farklı endüstriyel uygulamalar için: Dış rotorlu ve düşük devirli asenkron makine tasarımı

Celik

Çetin

2023

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Günümüzde gelişen yeni teknolojilerle birlikte asenkron makinelerin kullanım alanları genişlemektedir. Geleneksel asenkron motor kullanım alanlarına ek olarak, elektrikli taşıtlarda, rüzgar türbinlerinde ve hidroelektrik üretimi gibi alanlarda motor ve generatör olarak kullanımı giderek yaygınlaşmaktadır. Bu çalışmada özellikle rüzgar türbinlerinde direct drive generatör olarak kullanılmak üzere, düşük devirli ve yüksek tork değerli dış rotorlu asenkron makine tasarımı amaçlandı. 16 kutuplu, 50 Hz frekanslı, 375 d/d senkron hızlı, 1kW gücünde dış rotorlu asenkron motor tasarımı, optimizasyonu ve elektromanyetik analizi yapıldı. Analizler için altı farklı model geliştirildi. Stator tasarımlarında tek oyuk tipi ve 72 oyuk, rotor tasarımda 59 oyuk ve üç farklı oyuk tipi kullanıldı. Sincap kafesli rotor için bakır ve alüminyum malzeme tercih edildi. Çalışma Ansys Maxwell elektromanyetik paket programı ile gerçekleştirildi. Önce analitik tasarımı yapılan modellerin, Rmxprt-optimetrics modülü ile en yüksek verim hedeflenerek, temel büyüklükleri, hava aralığı ve oyuk ölçüleri optimize edildi. Daha sonra Sonlu Elemanlar Yöntemi ile elektromanyetik analizleri yapıldı. Analizler sonunda en yakın örnek olarak IEC 60034-30-1 standardında tanımlanan ve IE2 ve IE3 sınıfına üretilen 1.1 kW gücünde 8 kutuplu iç rotorlu asenkron motorların veriminin üstünde bir verim elde edildi. Bu sonuca göre dış rotorlu, düşük devirli ve yüksek torklu asenkron makine üretilebileceği görüldü.

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An Alternative Approach for the Detection of Broken Rotor Bars and Bearing Faults of Induction Motor Based on Vibration Signals

Cited by 9 publications

References 21 publications

Metrology and Measurement Systems

Metrology and Measurement Systems

Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks

Farklı endüstriyel uygulamalar için: Dış rotorlu ve düşük devirli asenkron makine tasarımı

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