A Complex Vibration Analysis of a Drive System Equipped with an Innovative Prototype of a Flexible Torsion Clutch as an Element of Pre-Implementation Testing

Wieczorek, Andrzej; Konieczny, Łukasz; Burdzik, Rafał; Wojnar, G.; Filipowicz, Krzysztof; Kuczaj, Mariusz

doi:10.3390/s22062183

Cited by 7 publications

(5 citation statements)

References 53 publications

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“…These vibrations can result from the interaction among different components and the dynamic behaviour of the clutch assembly during day-to-day normal operation. The importance of these vibrations lies in their ability to signal potential faults, abnormalities, and wear and tear in the system [7][8][9][10].…”

Section: Anomaly Detectionmentioning

confidence: 99%

Deep learning based fault detection of automobile dry clutch system using spectrogram plots

Sai S,

Sridharan,

Chakrapani

et al. 2024

Eng. Res. Express

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In this research study, a novel approach that leverages the power of transfer learning (a famous deep learning technique) is proposed to diagnose multiple types of clutch faults including, worn release fingers, fractured pressure plates, deteriorated pressure plates, loss of friction material and distorted tangential strips using spectrogram plots. To train and validate the diagnostic system, vibration readings were taken from a specially designed test rig with the help of piezoelectric accelerometer while the clutch system was operated under different load conditions of 0 (no load), 5 and 10 kg This procedure of data collection was then repeated to acquire the vibration data for all of the fault conditions by replacing the good with fault components individually. These vibration signals were further processed and transformed into spectrogram plots that serves as the input data for the deep learning models considered. Fine-tuning techniques were applied on pretrained networks to maximise the prediction accuracy of the models to effectively determine and diagnose faults in the clutch system. For this study 12 pre-trained networks were chosen namely, Xception, InceptionResNet, DenseNet, AlexNet, VGG16, GoogLeNet, VGG19, ResNet101, ResNet50, InceptionV3, MobileNetV2 and ShuffleNet. To optimize the performance of deep learning models, a systematic adjustment of hyperparameters such as the train-test split ratio, learning rate, optimizer and batch size for each network model was carried out. Through careful experimentation and analysis, significant improvements in fault classification accuracy were achieved thereby enhancing the reliability and effectiveness of the diagnostic system. From the results it was noted that 100% classification accuracy was displayed by AlexNet (for the no load condition and the 10kg load condition) and GoogLeNet (for 5 kg load condition) with extremely low computation times.

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Section: Anomaly Detectionmentioning

confidence: 99%

Deep learning based fault detection of automobile dry clutch system using spectrogram plots

Sai S,

Sridharan,

Chakrapani

et al. 2024

Eng. Res. Express

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“…This concept has been extended in terms of its utility value and the potential applications of the clutch in numerous further publications, including by Filipowicz [21] who has referred to laboratory tests to demonstrate the beneficial properties of the new clutch in the event that forces of impulse nature should occur. Wieczorek et al [65] have shown how useful it is to apply a time-frequency processing method to analyse the vibrations of bearings in flexible clutches. Paper [43], on the other hand, discusses the problem of vibration reduction in cylindrical intersecting axis transmissions operating in laboratory conditions following the application of torsionally flexible metal clutches.…”

Section: Hydrokinetic Clutches Are Power Transmission Assembliesmentioning

confidence: 99%

Reduction of dynamic loads in the drive system of mining scraper conveyors through the use of an innovative highly flexible metal coupling

Wieczorek,

Konieczny,

Wojnar

et al. 2024

Eksploatacja i Niezawodność – Maintenance and Reliability

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The article provides a discussion on the results of the original studies of a power transmission system of a mining scraper conveyor coupled with an innovative highly flexible clutch, conducted in operating conditions. The research consisted in establishing the static characteristics of the highly flexible clutch in question, determining the torsional vibrations of the said highly flexible clutch and the vibrations of the transmission housings at a test rig, verifying if the coupling between the innovative flexible clutch and a typical scraper conveyor drive unit was correct, and testing durability of individual components of the highly flexible clutch. Following the aforementioned tests, one can distinguish three phases of its operation: initial, main, and final – all differing in terms of flexibility. Furthermore, upon increasing the flexibility of the metal clutch, a significant decline in the root mean square (RMS) values of linear vibration accelerations was observed compared to the blocked condition of the clutch.

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“…Researchers A. Wieczorek et al (2022) determined tha t vibration analysis of a drive system equipped with an innovative prototype of a flexible torsion coupling is an important step before implementing this element in real-world applications. Flexible torsion couplings are used to transmit torque between shafts, while providing some flexibility to compensate for vibrations and torsional oscillations.…”

Section: Testing Torsion Shaft Prototypes: Ensuring High Efficiency A...mentioning

confidence: 99%

Analysis and optimization of torsion shafts in the context of improving the strength and durability of a light armoured vehicle

Krakhmalyov,

Klitnoy,

Zinchenko

et al. 2024

Tehnìka ta energetika

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In the context of the continuous development of armoured vehicles and the increasing requirements for the strength and efficiency of armoured vehicles, the study and improvement of torsion shafts becomes relevant to ensure high service life and optimal functioning. The aim of this study is to analyse the torsion shafts of light armoured vehicles to identify possible areas of optimization to increase the strength and durability of these vehicle elements. The methods used include the analytical method, classification method, functional method, statistical method, synthesis method, and others. As a result of the study, a comprehensive analysis and optimization of torsion shafts for light armoured vehicles was carried out to increase their strength and durability. The choice of high-strength material and weight consideration helped to reduce the weight of the vehicle, increasing its efficiency. Geometric design included the use of advanced techniques to optimize the shaft shape, and stress and strain analysis helped determine the optimum parameters. The use of computer modelling and simulation simplified the analysis of the shaft’s behaviour under load. The use of safety factors and consideration of impact loads during operation helped to improve the reliability and durability of the structure. The use of the latest materials and manufacturing technologies allowed achieving the optimum parameters of the transmission element. Testing of the prototypes in real conditions confirmed their efficiency and durability. The optimization of weight and weight distribution was aimed at improving the stability of the armoured vehicle, taking into account the requirements of a particular application and manufacturer. The results indicate the potential for improving the design of torsion shafts to increase the performance and stability of light armoured vehicles. This study makes an important contribution to science, as the identified optimizations and improvements in the design of torsion shafts of light armoured vehicles contribute not only to increasing their strength and durability, but also to the rational use of resources and increasing the overall performance of the vehicle

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A Complex Vibration Analysis of a Drive System Equipped with an Innovative Prototype of a Flexible Torsion Clutch as an Element of Pre-Implementation Testing

Cited by 7 publications

References 53 publications

Deep learning based fault detection of automobile dry clutch system using spectrogram plots

Deep learning based fault detection of automobile dry clutch system using spectrogram plots

Reduction of dynamic loads in the drive system of mining scraper conveyors through the use of an innovative highly flexible metal coupling

Analysis and optimization of torsion shafts in the context of improving the strength and durability of a light armoured vehicle

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