Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison

Immovilli, Fabio; Bellini, A.; Rubini, Riccardo; Tassoni, C.

doi:10.1109/tia.2010.2049623

Cited by 322 publications

(154 citation statements)

References 31 publications

Supporting

Mentioning

136

Contrasting

Unclassified

Order By: Relevance

“…Localized faults could be imagined as a small hole, a pit, or a missing piece of material and they affect a localized region [13,17]. When a localized defective bearing runs at a constant speed, a periodic impact between rolling elements and the raceway is produced [6,13]. The existence of such impulsive forces gives rise to an increase in the vibration level [18,19].…”

Section: The Structure and Fault Types Of A Rolling-element Bearingmentioning

confidence: 99%

“…Among them, vibration signals have been widely applied in IM bearing faults detection [3][4][5][6]. However, this method is invasive and needs to install special sensor on the motor.…”

Section: Introductionmentioning

confidence: 99%

“…The rotor was assumed to be perfectly centered when there is no contact between a ball and the defect, and the electromagnetic torque was supposed to be stable in Blödt et al [13]. A theoretical analysis of the physical link between faults which was modeled as a torque disturbance and current components was obtained by accounting that the electromagnetic torque was subjected to minor variations [6]. A rectangular pulse model was proposed by Cheng et al viewing the effect of bearing banded failures as a rectangular pulse [15].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault

Song¹,

Hu²,

Zhu³

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Bearing faults are the most frequent faults of induction motors. The current spectrum analysis is an easy and popular method for the monitoring and detection of bearing faults. After a presentation of the existing fault models, this paper illustrates an analytical approach to evaluate the effects of the slot harmonics on the stator current in an induction motor with bearing fault. Simple and clear theoretical analysis results in some new current characteristic frequencies. Experimental tests with artificial bearing outer raceway fault are carried out by measuring stator current signals. The experimental results by spectral analysis of the stator current agree well with the theoretical inference.

show abstract

Section: The Structure and Fault Types Of A Rolling-element Bearingmentioning

confidence: 99%

“…Among them, vibration signals have been widely applied in IM bearing faults detection [3][4][5][6]. However, this method is invasive and needs to install special sensor on the motor.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault

Song¹,

Hu²,

Zhu³

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…When the wavelet basis function of the wavelet transform (WT) [5] is scheduled to be different, the decomposition of the time series will have great influence. When the wavelet base is selected, WT has no self-adaptability at different scales [2,6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis

Gao

Villecco

et al. 2017

Entropy

140

View full text Add to dashboard Cite

Based on the combination of improved Local Mean Decomposition (LMD), Multi-scale Permutation Entropy (MPE) and Hidden Markov Model (HMM), the fault types of bearings are diagnosed. Improved LMD is proposed based on the self-similarity of roller bearing vibration signal by extending the right and left side of the original signal to suppress its edge effect. First, the vibration signals of the rolling bearing are decomposed into several product function (PF) components by improved LMD respectively. Then, the phase space reconstruction of the PF1 is carried out by using the mutual information (MI) method and the false nearest neighbor (FNN) method to calculate the delay time and the embedding dimension, and then the scale is set to obtain the MPE of PF1. After that, the MPE features of rolling bearings are extracted. Finally, the features of MPE are used as HMM training and diagnosis. The experimental results show that the proposed method can effectively identify the different faults of the rolling bearing.

show abstract

“…[1], [2], rotor faults (broken bar or cracked end-ring) [3], [4], and inverter faults (short-circuit and open-circuit) [5]; mechanical faults, such as bearing faults [6], [7] and eccentricity faults [8], [9]; and sensor faults. A lot of studies have been published on the diagnostic techniques of electrical and mechanical faults and an overview of these techniques is given in [10].…”

Section: Introductionmentioning

confidence: 99%

Speed and Current Sensor Fault Detection and Isolation Based on Adaptive Observers for IM Drives

Yu¹,

Wang²,

Xü³

et al. 2014

Journal of Power Electronics

View full text Add to dashboard Cite

This paper focuses on speed and current sensor fault detection and isolation (FDI) for induction motor (IM) drives. A new, accurate and high-efficiency FDI approach is proposed so that a system can continue operating with good performance even in the presence of speed sensor faults, current sensor faults or both. The proposed three paralleled adaptive observers are capable of current sensor fault detection and localization. By using observers, the rotor flux and rotor speed can be estimated which allows the system to run under the speed sensorless vector control mode when a speed sensor fault occurs. In order to detect speed sensor faults, a threshold-based scheme is proposed. To verify the feasibility and effectiveness of the proposed FDI strategy, experiments are carried out under different conditions based on a dSPACE DS1104 induction motor drive platform.

show abstract

Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison

Cited by 322 publications

References 31 publications

Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault

Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault

Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis

Speed and Current Sensor Fault Detection and Isolation Based on Adaptive Observers for IM Drives

Contact Info

Product

Resources

About