Investigation on Dynamic Characteristics of Spur Gear Transmission System with Crack Fault

Ren, Fei; Wang, Dexi; Shi, Guiqin; Wu, Xiaoling

doi:10.3390/machines10080664

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…The execution time of system instructions is compensated with the transmission response time to eliminate the effect of fault diagnosis time difference. The system database is correlated and the information of data in the system is obtained, and the abnormal data is recorded by using the tagging function of the database [15][16]. At this point, the ratio between the correlation dimension and the abnormal data is greater than the preset criterion, indicating that the diagnostic region of the model is unstable and needs to be readjusted.…”

Section: Fft High Frequency Fault Diagnosis Model Designmentioning

confidence: 99%

Design of a Fault Diagnosis Method for Transmission System of Hydraulic Support Truck for Coal Mine

2023

J. Phys.: Conf. Ser.

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To improve the speed of fault diagnosis of the handling car transmission system, it is necessary to design and analyze the fault diagnosis method of the hydraulic support handling car transmission system for coal mines. Firstly, the coupling demodulation abnormal signal is obtained, and the initial fault identification is realized by using the improvement instruction. Based on this, the fault diagnosis method for the transmission system of the hydraulic support truck(FFT) high-frequency fault diagnosis model is designed, and the fault diagnosis is finally realized through database regulation. The test results show that the diagnostic response time of the designed method is only 1.05s, indicating that the designed method is faster in diagnosis during practical application and can quickly assist in the repair of the transmission system of the hydraulic bracket handling car for coal mines, which has practical application value.

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Section: Fft High Frequency Fault Diagnosis Model Designmentioning

confidence: 99%

Design of a Fault Diagnosis Method for Transmission System of Hydraulic Support Truck for Coal Mine

2023

J. Phys.: Conf. Ser.

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“…The working environment of the gearbox is usually very harsh. Under high-speed and heavy-load operating conditions, the internal parts of a gearbox are easily damaged and can even stop working [ 4 , 5 ], leading to economic losses and casualties. Therefore, fault diagnosis has great significance for gearboxes [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion

Xie

Gan

Shang

et al. 2023

Sensors

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Traditional methods of gearbox fault diagnosis rely heavily on manual experience. To address this problem, our study proposes a gearbox fault diagnosis method based on multidomain information fusion. An experimental platform consisting of a JZQ250 fixed-axis gearbox was built. An acceleration sensor was used to obtain the vibration signal of the gearbox. Singular value decomposition (SVD) was used to preprocess the signal in order to reduce noise, and the processed vibration signal was subjected to short-time Fourier transform to obtain a two-dimensional time–frequency map. A multidomain information fusion convolutional neural network (CNN) model was constructed. Channel 1 was a one-dimensional convolutional neural network (1DCNN) model that input a one-dimensional vibration signal, and channel 2 was a two-dimensional convolutional neural network (2DCNN) model that input short-time Fourier transform (STFT) time–frequency images. The feature vectors extracted using the two channels were then fused into feature vectors for input into the classification model. Finally, support vector machines (SVM) were used to identify and classify the fault types. The model training performance used multiple methods: training set, verification set, loss curve, accuracy curve and t-SNE visualization (t-SNE). Through experimental verification, the method proposed in this paper was compared with FFT-2DCNN, 1DCNN-SVM and 2DCNN-SVM in terms of gearbox fault recognition performance. The model proposed in this paper had the highest fault recognition accuracy (98.08%).

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Effect of Gear Tooth Cracks on the Dynamic Characteristics of Gear Transmission System of High-Speed Train

Zhang,

Cai,

Chen

et al. 2024

Journal of Computational and Nonlinear Dynamics

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In order to study the dynamic characteristics of a high-speed train gear transmission system with cracks, time-varying meshing stiffness of gear teeth with different cracks was obtained using energy method. A torsional vibration model of the gear transmission system of a high-speed train was established. Based on the model, the ?-value describing the change in stiffness was used to obtain the analytical solution of a system with crack faults. The influence of the degree of crack on the dynamic characteristics of a system under torque excitation of the driving end and load end was analyzed. In contrast with a normal gear system, a system containing a crack fault generated no harmonic response. Moreover, for a given set of working conditions, the degree of crack only affected the resonance amplitude and frequency of the system. These results form a robust guide for the detection of crack faults in the gear transmission system of a high-speed train.

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Investigation on Dynamic Characteristics of Spur Gear Transmission System with Crack Fault

Cited by 5 publications

References 30 publications

Design of a Fault Diagnosis Method for Transmission System of Hydraulic Support Truck for Coal Mine

Design of a Fault Diagnosis Method for Transmission System of Hydraulic Support Truck for Coal Mine

Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion

Effect of Gear Tooth Cracks on the Dynamic Characteristics of Gear Transmission System of High-Speed Train

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