Fault diagnostics in rotary machines through spectral vibration analysis using low-cost MEMS devices

Pedotti, Luciane Agnoletti dos Santos; Zago, Ricardo Mazza; Fruett, Fabiano

doi:10.1109/mim.2017.8121950

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…However, accelerometers are most commonly used because of their greater accuracy, measurement range, ease of mounting, and cost. Moreover, it is relatively simple to numerically integrate the acceleration signal and obtain the velocity and displacement [26,27]. The next subsections discuss the main characteristics of these three types of sensors.…”

Section: Data Acquisitionmentioning

confidence: 99%

“…It is relatively robust and stable so its characteristics remain stable for a long period of time. Piezoelectric accelerometers have greater reliability when compared to other types of sensors, being able to operate in a frequency range of 1 Hz to 30 kHz; therefore, they are suitable for measuring high-frequency vibrations [24,27].…”

Section: Piezoelectric Accelerometermentioning

confidence: 99%

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A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery

Romanssini

Aguirre

Severo

et al. 2023

Eng

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Machine failure in modern industry leads to lost production and reduced competitiveness. Maintenance costs represent between 15% and 60% of the manufacturing cost of the final product, and in heavy industry, these costs can be as high as 50% of the total production cost. Predictive maintenance is an efficient technique to avoid unexpected maintenance stops during production in industry. Vibration measurement is the main non-invasive method for locating and predicting faults in rotating machine components. This paper reviews the techniques and tools used to collect and analyze vibration data, as well as the methods used to interpret and diagnose faults in rotating machinery. The main steps of this technique are discussed, including data acquisition, data transmission, signal processing, and fault detection. Predictive maintenance through vibration analysis is a key strategy for cost reduction and a mandatory application in modern industry.

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Section: Data Acquisitionmentioning

confidence: 99%

Section: Piezoelectric Accelerometermentioning

confidence: 99%

A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery

Romanssini

Aguirre

Severo

et al. 2023

Eng

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“…Due to their significance, maintenance stops for TIM machines have a direct link with significant financial losses. Because of these losses, many techniques that allow one to predict and identify faults using sensorbased systems in TIMs have been proposed [2][3][4]. Some of the most interesting predictive techniques are non-destructive techniques (NDTs), such as the vibration analysis.…”

Section: Introductionmentioning

confidence: 99%

“…The high cost of this type of sensor is still an obstacle for the dissemination of NDTs in industry. Therefore, the development of cheaper sensors would make this kind of approach more viable for a day-to-day maintenance routines, improving the efficiency and safety of operations [3]. Although vibration analysis has already yielded positive results [3,5,6], the application of low-cost sensors would make NDT more feasible and advantageous.…”

Section: Introductionmentioning

confidence: 99%

Study of a Low-Cost Piezoelectric Sensor for Three Phase Induction Motor Load Estimation

Lucas

Castro

Rocha

et al. 2018

5th International Electronic Conference on Sensors and Applications

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Due the complexity of control and automation networks in modern industries, sensor-based systems stand out as effective approaches for failure detection in electrical and mechanical machines. This kind of intervention has a high operational value in industrial scenarios, once it can avoid corrective maintenance stops, i.e., before the failure reaches a high level of severity and compromises the machine. Consequently, the development of sensors applied to non-destructive techniques (NDT) for failure monitoring in electrical machines has become a recurrent theme in recent studies. In this context, this paper investigates the application of low-cost piezoelectric sensors for vibration analysis, which is an NDT that has already proved to be efficient for the detection of many structural anomalies in induction motors. Further, the proposed work presents a low-cost alternative approach for expensive commercial sensors, which will make this NDT more attractive for industrial applications. To describe the piezoelectric sensor frequency response, a pencil lead break (PLB) test was performed. After this validation, the Root Mean Square (RMS) value from the voltage samples obtained in the test bench was used as a signal processing method. A comparison between the results for different levels of mechanical load attached to the machine shaft indicated not only the successful performance of the low-cost sensors for load estimation purposes, but also showed that oversized motors may present higher vibration levels in some components that could cause mechanical wearing.

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Analysis and control of the motor vibration using arduino and machine learning model

Krishnaveni

Raja

Jayasankar

et al. 2021

Materials Today: Proceedings

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Fault diagnostics in rotary machines through spectral vibration analysis using low-cost MEMS devices

Cited by 14 publications

References 4 publications

A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery

A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery

Study of a Low-Cost Piezoelectric Sensor for Three Phase Induction Motor Load Estimation

Analysis and control of the motor vibration using arduino and machine learning model

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