Automatic Classification of Rotating Machinery Defects Using Machine Learning (ML) Algorithms

Zoungrana, Wend-Benedo; Chehri, Abdellah; Zimmermann, Alfred

doi:10.1007/978-981-15-5784-2_16

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…If the changes are periodic, their frequency is also determined. If the changes are random, statistical methods are used for analysis [23,24].…”

Section: State Of the Artmentioning

confidence: 99%

Enhancing Vibration Analysis in Hydraulic Presses: A Case Study Evaluation

Jancarczyk,

Wróbel,

Danielczyk

et al. 2024

Applied Sciences

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Vibration monitoring is essential for maintaining the optimal performance and reliability of industrial machinery, which experiences dynamic forces and vibrations during operation. This study delved into a comprehensive analysis of vibration monitoring in hydraulic presses, utilizing advanced measurement systems equipped with accelerometers. The proposed system included a three-axis accelerometer, data acquisition unit, and dedicated measurement software, facilitating the precise monitoring and analysis of vibrations. The influence of the sensor placement and sampling frequency on the measurement results was examined. A time and frequency analysis of the recorded measurements was performed. The results demonstrated the correlation between vibration levels and various production parameters, such as the number of parts simultaneously produced and press pressure. These findings underscore the potential for vibration measurement as a pivotal component in controlling production parameter settings.

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“…If the changes are periodic, their frequency is also determined. If the changes are random, statistical methods are used for analysis [23,24].…”

Section: State Of the Artmentioning

confidence: 99%

Enhancing Vibration Analysis in Hydraulic Presses: A Case Study Evaluation

Jancarczyk,

Wróbel,

Danielczyk

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Predictive maintenance through vibration analysis is a key strategy for cost reduction and quite useful application in modern industry [17]. The machine's condition can be determined by analyzing the vibration amplitudes and frequencies, as both can reveal the severity and source of the machine problem, respectively [18]. The RAC is one such rotary machine that needs OCM to stop further damage and ensure a safe working environment [19].…”

Section: Introductionmentioning

confidence: 99%

Comparative performance analysis of different types of k-nearest neighbor (k-NN) classifiers for fault diagnosis of air compressor setup

Dhakar,

Singh,

Gupta

2024

Eng. Res. Express

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This paper presents a method for identifying Reciprocating Air Compressor (RAC) faults using acoustic signals obtained from both healthy and unhealthy conditions. The entire procedure is carried out with Uni-directional microphones using a LABVIEW-based data collection interface and data acquisition (DAQ) hardware unit that has several ports. Accumulated one healthy and seven unhealthy signals of RAC setup processed using signal processing technique called Local Mean Decomposition (LMD). Further, six Statistical Properties (SPs) have been evaluated in or-der to extract fault features namely: mean (US), variance (σs2), root square of mean (Mrms), root amplitude of mean (Mrma), absolute amplitude of mean (Mama), and Kurtosis index (Ki). Extracted fault features are classified using various types of k-NN classifiers namely: fine (f-kNN), medium (m-kNN), coarse (c-kNN) and weighted (w-kNN). It has been found that LMD along with 6 statistical properties and form different type of k-NN classifiers, the weighted k-NN classifier has a greater accuracy of 86.74%, which is quite accurate as compared to other k-NN classifiers.

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“…Moving parts in most machines produce undesirable vibration, so vibration analysis may be used to determine whether a machine can be kept running or needs to be shut down and fixed [2]. The frequency and vibration amplitude may all show the severity and origin of the machine issue and can be used to assess the machine's condition [5]. Without vibration equipment, a rained person's intellect, touch, and hearing senses may first function as a vibration analyzer to assess machine faults.…”

Section: Introductionmentioning

confidence: 99%