Non-Invasive Vibration Measurement for Diagnosis of Bearing Faults in 3-Phase Squirrel Cage Induction Motor Using Microwave Sensor

Barusu, Madhusudhana Reddy; Meganathan, D.

doi:10.1109/jsen.2020.3004515

Cited by 38 publications

(24 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meng_2021 [59] Goyal_2021 [60] Prashanth_2018 [61] Barusu_2021 [62] Ghemari_2019 [63] Feldman_2015 [64] Low-cost solutions Soto-Ocampo_2020 [65] Papathanasopoulos_2021 [66] Dos Santos Pedotti_2020 [67] Multi-sensor-based approach Sharma_2021 [25] *…”

Section: Unconventional Vibration Sensormentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

View full text Add to dashboard Cite

Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out the main phases (signal measurements, pre-processing and processing, feature selection, and fault diagnosis) of a malfunction automatic diagnosis. In addition, vibration-based condition monitoring has been applied to a number of different mechanical systems or components. In this review, a systematic study of the works related to the topic was carried out. A preliminary phase involved the analysis of the publication distribution, to understand what was the interest in studying the application of the method to the various rotating machineries, to identify the interest in the investigation of the main phases of the diagnostic process, and to identify the techniques mainly used for each single phase of the process. Subsequently, the different techniques of signal processing, feature selection, and diagnosis are analyzed in detail, highlighting their effectiveness as a function of the investigated aspects and of the results obtained in the various studies. The most significant research trends, as well as the main innovations related to the various phases of vibration-based condition monitoring, emerge from the review, and the conclusions provide hints for future ideas.

show abstract

Section: Unconventional Vibration Sensormentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

View full text Add to dashboard Cite

show abstract

“…It is difficult to detect some types of faults e.g., isolation faults, slightly shorted coils. Vibration analysis is described well in the literature [ 11 , 12 , 13 , 14 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Rational Dilation Wavelet Transforms (RDWT) were used for the following faults: full-load, no-load, rotor bar faults. The recognition accuracy was equal to 93% [ 14 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Głowacz

2021

Sensors

148

View full text Add to dashboard Cite

The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means of infrared (IR) thermography and IR image processing. An innovative method called BCAoMID-F (Binarized Common Areas of Maximum Image Differences—Fusion) is proposed in this paper. This method is used to extract features of thermal images of three angle grinders. The computed features are 1-element or 256-element vectors. Feature vectors are the sum of pixels of matrix V or PCA of matrix V or histogram of matrix V. Three different cases of thermal images were considered: healthy angle grinder, angle grinder with 1 blocked air inlet, angle grinder with 2 blocked air inlets. The classification of feature vectors was carried out using two classifiers: Support Vector Machine and Nearest Neighbor. Total recognition efficiency for 3 classes (TRAG) was in the range of 98.5–100%. The presented technique is efficient for fault diagnosis of electrical devices and electric power tools.

show abstract

“…Other sensors are used for non-contact vibration measurement, such as the magnetoresistive sensor. Microwave sensors [24] are very accurate but require complex software, Phase-Locked Loop (PLL), to recover information from the reflected signal. Eddy current sensors [25] are effective in detecting shaft static displacements, unbalance response and misalignment, but are limited to measure vibrations from metallic objects at a very close distance.…”

Section: Comparison With Other Measurement Techniquesmentioning

confidence: 99%

Magnetoresistive Sensors and Piezoresistive Accelerometers for Vibration Measurements: A Comparative Study

Dionísio

Torres

Ramalho

et al. 2021

JSAN

View full text Add to dashboard Cite

This experimental study focuses on the comparison between two different sensors for vibration signals: a magnetoresistive sensor and an accelerometer as a calibrated reference. The vibrations are collected from a variable speed inductor motor setup, coupled to a ball bearing load with adjustable misalignments. To evaluate the performance of the magnetoresistive sensor against the accelerometer, several vibration measurements are performed in three different axes: axial, horizontal and vertical. Vibration velocity measurements from both sensors were collected and analyzed based on spectral decomposition of the signals. The high cross-correlation coefficient between spectrum vibration signatures in all experimental measurements shows good agreement between the proposed magnetoresistive sensor and the reference accelerometer performances. The results demonstrate the potential of this type of innovative and non-contact approach to vibration data collection and a prospective use of magnetoresistive sensors for predictive maintenance models for inductive motors in Industry 4.0 applications.

show abstract

Non-Invasive Vibration Measurement for Diagnosis of Bearing Faults in 3-Phase Squirrel Cage Induction Motor Using Microwave Sensor

Cited by 38 publications

References 60 publications

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

Magnetoresistive Sensors and Piezoresistive Accelerometers for Vibration Measurements: A Comparative Study

Contact Info

Product

Resources

About