Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives

Gritli, Y.; Tommaso, A. O. Di; Miceli, R.; Filippetti, F.; Rossi, C.

doi:10.1109/powereng.2013.6635893

Cited by 27 publications

(19 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each propeller can be moved separately by a Diesel engine (1220 kW @ 2450 rpm) or by an AC electric motor (180 kW e @ 3000 rpm). Both Diesel engine and electric motor [3] are connected through a clutch to a reduction gear having a gearbox ratio 5.5:1.…”

Section: Ips Machinery Arrangementmentioning

confidence: 99%

The design of a slow-cruising superyacht with zero emission navigation and smart berthing modes

Bucci

Marinò

Bosich

et al. 2014

2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER)

View full text Add to dashboard Cite

The reduction of polluting/acoustic emissions is actually a key driver to re-design yachts and marinas, being improved their marketability. A greener yacht able to guarantee a Zero-Emission-Mode navigation can be conceived through the adoption of on-board energy storage systems. An innovative possibility for supplying the embarked batteries is offered by renewable energies, besides the on-board stored energy may be provided for operations of the Distribution System Operator

show abstract

Section: Ips Machinery Arrangementmentioning

confidence: 99%

The design of a slow-cruising superyacht with zero emission navigation and smart berthing modes

Bucci

Marinò

Bosich

et al. 2014

2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER)

View full text Add to dashboard Cite

show abstract

“…There are a variety of fault diagnosis methods that have been developed based on vibration signal analysis for detecting the BRB faults of IMs. In [5], the advanced use of wavelet analysis by analyzing an axial vibration signal was introduced for BRB faults detection through removing the effects of the interference frequency components. In [6], the Zhao-Atlas-Marks (ZAM) distribution was investigated for BRB faults diagnosis based on vibration transient signals.…”

Section: Introductionmentioning

confidence: 99%

“…The effectiveness and performance of the proposed method is validated through processing the vertical vibration signals issued from healthy motor and damaged motors with 1 BRB and 2 BRB faults under 0%, 20%, 40%, 60%, and 80% load conditions. Compared to the power spectral density (PSD) [2,3,5,[22][23][24][25] that has been widely explored for BRB fault detection and other cyclic spectral analysis estimators, such as the cyclic power spectrum (CPS) [26], averaged cyclic periodogram (ACP) [27], and fast spectral correlation (FSC) [28], the improved CMS can provide better diagnosis capability.…”

Section: Introductionmentioning

confidence: 99%

Fault Identification of Broken Rotor Bars in Induction Motors Using an Improved Cyclic Modulation Spectral Analysis

Wang

Yang

et al. 2019

Energies

View full text Add to dashboard Cite

Induction motors (IMs) play an essential role in the field of various industrial applications. Long-time service and tough working situations make IMs become prone to a broken rotor bar (BRB) that is one of the major causes of IMs faults. Hence, the continuous condition monitoring of BRB faults demands a computationally efficient and accurate signal diagnosis technique. The advantage of high reliability and wide applicability in condition monitoring and fault diagnosis based on vibration signature analysis results in an improved cyclic modulation spectrum (CMS), which is one of the cyclic spectral analysis algorithms. CMS is proposed in this paper for the detection and identification of BRB faults in IMs at a steady-state operation based on a vibration signature analysis. The application of CMS is based on the short-time Fourier transform (STFT) and the improved CMS approach is attributed to the optimization of STFT. The optimal window is selected to improve the accuracy for identifying the BRB fault types and severities. The appropriate window length and step size are optimized based on the selected window function to receive a better calculation benefit through simulation and experimental analysis. Compared to other estimators, the improved CMS method provides better fault detectability results by analyzing vertical vibration signatures of a healthy motor, and damaged motors with 1 BRB and 2 BRBs under 0%, 20%, 40%, 60%, and 80% load conditions. Both synthetic and experimental investigations demonstrate the proposed methodology can significantly reduce computational costs and identify the BRB fault types and severities effectively.

show abstract

“…Several sensing techniques have been researched in the field of BRB fault diagnosis. For example, motor current signature analysis (MCSA) [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] is the mainstream technique, and the motor vibration signature analysis (MVSA) [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] technique is commonly used for diagnosing the presence of BRB failures. However, the sound measurement [32], temperature measurement [33], and magnetic field analysis [34] have been used less due to the inference of external factors.…”

Section: Introductionmentioning

confidence: 99%

An Improved Cyclic Modulation Spectral Analysis Based on the CWT and Its Application on Broken Rotor Bar Fault Diagnosis for Induction Motors

Zhen

Wang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

Induction motors (IMs) are widely used in many manufacturing processes and industrial applications. The harsh work environment, long-time enduring, and overloads mean that it is subjected to broken rotor bar (BRB) faults. The vibration signal of IMs with BRB faults consists of the reliable modulation information used for fault diagnosis. Cyclostationary analysis has been found to be effective in identifying and extracting fault feature. The estimators of cyclic modulation spectrum (CMS) and fast spectral correlation (FSC) based on the short-time fourier transform (STFT) have higher cyclic frequency resolution, which has proven efficient in demodulating second order cyclostationary (CS2) signals. However, these two estimators have limitations of processing the maximum cyclic frequency αmax that is smaller than Fs/2 (Fs is the sampling frequency) according to Nyquist’s Theorem. In addition, they have lower carrier frequency resolution due to the fixed window size used in STFT. In order to resolve the initial shortcomings of the CMS and FSC methods, in this paper, we extended the analysis of CMS algorithm based on the continuous wavelet transform (CWT), which enlarged the maximum cyclic frequency range to Fs/2 and provides higher carrier frequency resolution because the CWT has the advantage of multi-resolution analysis. The reliability and applicability of the proposed method for fault components localization were validated by CS2 simulation signals. Compared to CMS and FSC methods, the proposed approach shows better performance by analyzing vibration signals between healthy motor and faulty motor with one BRB fault under 0%, 20%, 40%, and 80% load conditions.

show abstract

Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives

Cited by 27 publications

References 40 publications

The design of a slow-cruising superyacht with zero emission navigation and smart berthing modes

The design of a slow-cruising superyacht with zero emission navigation and smart berthing modes

Fault Identification of Broken Rotor Bars in Induction Motors Using an Improved Cyclic Modulation Spectral Analysis

An Improved Cyclic Modulation Spectral Analysis Based on the CWT and Its Application on Broken Rotor Bar Fault Diagnosis for Induction Motors

Contact Info

Product

Resources

About