Failure Type Prediction Using Physical Indices and Data Features for Solenoid Valve

Abstract

A high-speed solenoid valve is a key component of the braking system. Accurately predicting the failure type of the solenoid valve is an important guarantee for safe operation of the braking system. However, electrical, magnetic, and mechanical coupling aging mechanism; individual differences; and uncertainty of aging processes have remained major challenges. To address this problem, a method combining physical indices and data features is proposed to predict the failure type of solenoid valve. Firstly, the mechanism model of the solenoid valve is established and five physical indices are extracted from the driven current curve. Then, the frequency band energy characteristics are obtained from the current change rate curve of the solenoid valve by wavelet packet decomposition. Combining physical indices and frequency band energy characteristics into a comprehensive feature vector, we applied random forest to both predict and classify the failure type. We generate a data set consisting of 60 high-speed solenoid valves periodically switched under accelerated aging test conditions, including driven current, final failure type, and switching cycles. The prediction result shows that the proposed method achieves 95.95% and 94.68% precision for the two failures using the driven current data of the 3000th cycle and has better prediction performance than other algorithms.

An Online Flexible Sorting Model for Coal and Gangue Based on Multi-Information Fusion

“…The rising height of gangue is denoted as , and the required time is . The falling height of gangue from the highest point to the lower belt is , and the required time is , which can be obtained from (17) to (19) It can be seen from the above formula that the horizontal movement distance of the gangue being blown is related to a series of variables, including belt speed, gangue height, gangue mass, blowing force, blowing time, and the distance between the axis of the pneumatic separation device and the upper part of the belt. In this paper, the distance between the axis of pneumatic separation device and the top of the belt are set as fixed values.…”

“…In this paper, the method of pneumatic separation is adopted to realize the separation of coal and gangue on the high-speed belt, and PLC is used to control the on-off mode of the solenoid valve to realize the control of high-pressure gas. Solenoid valves have the advantages of high response speed and stable and reliable action [19], which are suitable for rapid sorting of gangue on high-speed belts. Currently, the pneumatic separation method has been widely employed in the separation of seeds in agriculture and the recovery of useful substances in industrial wastes, but its application in the separation of coal and gangue is limited.…”

Experimental Wear Characterization and Durability Enhancement of an Aeronautic Braking System

“…Designing electromagnetic braking systems requires a multidisciplinary approach, as the mechanical aspects, including tribological issues, must be combined with electromagnetic [9], structural, and thermal issues [10,11], but the literature includes few studies focused on their overall behavior and design issues [12]. In addition, most of the tribological studies about brakes have focused on braking systems that are not for aeronautical applications.…”

A remaining useful life estimation method for solenoid valve based on mmWave radar and auxiliary particle filter technique

“…However, most of the existing studies on the failure mechanism of SVs are carried out by indirect detection of drive signals. These driving signals include magnetic field, inductance, and current [17,18,19,20,21,22]. Not only do these indirect detection methods have low measurement accuracy, but also the installation of detection equipment will destroy the original structure of the SV.…”