scholarly journals Fault Diagnosis in Braking System of Mine Hoist Based on the Moment Characteristics

2017 ◽  
Author(s):  
Li Juanjuan ◽  
Wang Aiming ◽  
Meng Guoying ◽  
Xie Guangming ◽  
Wang Shuai ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Braking System ◽  
The Moment ◽  
Mine Hoist

scholarly journals Fault Diagnosis for Constant Deceleration Braking System of Mine Hoist based on Principal Component Analysis and SVM

2017 ◽  
Vol 128 ◽  
pp. 05015
Author(s):  
Juan-Juan Li ◽  
Liang Hu ◽  
Guo-Ying Meng ◽  
Guang-Ming Xie ◽  
Ai-Ming Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Fault Diagnosis ◽  
Principal Component ◽  
Component Analysis ◽  
Braking System ◽  
Mine Hoist

Fault diagnosis method of mine hoist braking system based on deep convolution neural network

2021 ◽  
Author(s):  
Fangyuan Yan ◽  
Juanli Li ◽  
Dong Miao ◽  
Qi Cao
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Back Propagation ◽  
Descent Method ◽  
Convolution Neural Network ◽  
Monitoring Data ◽  
Gradient Descent Method ◽  
Braking System ◽  
Diagnosis Method ◽  
Mine Hoist

Abstract A reliable braking system is an important guarantee for safe operation of mine hoist. In order to make full use of the monitoring data in the operation process of mine hoist, identify the operation status of the hoist, and further carry out fault diagnosis on it, the deep learning method was introduced into the fault diagnosis of the hoist, and a fault diagnosis method of hoist braking system based on convolution neural network has been proposed. Firstly, the working principle and fault mechanism of disc brake and its hydraulic station in hoist braking system are analyzed, and the monitoring parameters of this study are determined; then, based on massive monitoring data, the convolutional neural networks (CNN) is established, the one-dimensional signal collected by the sensor is transformed into two-dimensional image for coding, the neural network is trained by gradient descent method, and the network structure parameters are modified according to the training results. Finally, the fault diagnosis model is compared and verified by using the sample set based on the traditional back propagation neural network (BP) and CNN. The results show that the accuracy of CNN is higher than that of BP, and the accuracy rate can reach 99.375% after reducing the involvement between samples. This method can make full use of the monitoring data for diagnosis, without subjective intervention of experts, and improve the accuracy of diagnosis.

scholarly journals Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1920 ◽  
Author(s):  
Juanli Li ◽  
Jiacheng Xie ◽  
Zhaojian Yang ◽  
Junjie Li
Keyword(s):  
Fault Diagnosis ◽  
Internet Of Things ◽  
The Internet ◽  
Internet Of Things Environment ◽  
Diagnosis Method ◽  
Mine Hoist ◽  
The Internet Of Things

The control optimization algorithm for automatic braking of a wheeled vehicle

Trudy NAMI ◽  
2021 ◽  
pp. 48-57
Author(s):  
V. O. Strukov
Keyword(s):  
Road Transport ◽  
Practical Significance ◽  
Quadratic Functional ◽  
Valve Body ◽  
Braking System ◽  
Control Optimization ◽  
Wheeled Vehicle ◽  
Developing Directions ◽  
Software And Hardware ◽  
The Moment

Introduction (problem statement and relevance). One of the most promising and intensively developing directions in the automation field of road transport management is the creation of highly automated vehicles.The purpose of the study was to find a way to solve a wheeled vehicle safe automatic braking problem in terms of minimizing quality control of the quadratic functional and work out optimal software and hardware implementation of this system.Methodology and research methods. To solve the problem, the method of the control algorithm analytical design was used, basing on the use of the necessary conditions for minimizing the elements of the functional for the control law synthesis. The maximum deceleration value was due to the identified tire grip, and the deceleration threshold from which braking begins was selected as the minimum of the working deceleration and two decelerations depending on the rear obstacle distance.Scientific novelty and results. The tests of the developed function were carried out for the LADA Vesta vehicle equipped with an ABS valve body with the possibility of programmed control. The analysis of the research results showed that when solving the problem of safe automatic braking in front of an obstacle, the software limitation of braking deceleration did not allow wheel blocking and performed the functions of an anti-lock braking system at the permissible wheel slipping level; software backup of the distance calculation to the front obstacle from the moment of braking start allowed to prevent most of the situations with false data from the radar when the vehicle pecked during braking.Practical significance. Software tuning of mathematical models parameters of the engine, transmission and braking system allows you to adapt the automatic braking system to a wide class of vehicle models.

Study on the Method of Multi-Rope Hoist Rope Tension Imbalance Fault Monitoring and Diagnosis

2010 ◽  
Vol 139-141 ◽  
pp. 2591-2594 ◽  
Author(s):  
Shao Jin Wang ◽  
Zhao Jian Yang ◽  
Fan Du
Keyword(s):  
Fault Diagnosis ◽  
Measurement Data ◽  
Wire Rope ◽  
Test Method ◽  
Wave Method ◽  
New Methods ◽  
Fault Monitoring ◽  
Vibration Wave ◽  
Mechanical Dynamics ◽  
Mine Hoist

In order to solve the problem that the tension measurement data of mine hoist wire-rope is inaccurate and the method of fault diagnosis of multi-rope hoist rope tension imbalance is non-standard, the systematic study of monitoring, forecasting and fault diagnosis of rope tension imbalance was made by using the principles of vibration wave method in mechanical dynamics. A set of new methods about monitoring, forecasting and fault diagnosis were developed, which the test method of hoist wire-rope tension based on inhomogeneous chord vibration and the methods for fault diagnosis of steel rope unbalance tension were described deeply. The vibration wave method was also used in these methods. The field test indicated that these methods were simple to operate and had higher accuracy and reliability.

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