| With the continuous improvement of equipment automation,in the process of long-term missions,the internal electrical connectors are prone to wear,looseness,poor contact and other problems.If they are not repaired in time,the reliability of the equipment will be affected and serious problems will occur.As one of the main electromechanical components for signal transmission and mechanical connection,electrical connectors are prone to malfunctions under complex and harsh environments for a long time.Intermittent faults are the most complicated of them.They are intermittent,random and repetitive.It is difficult to find and diagnose with traditional detection techniques,and the efficiency is low and the accuracy is poor.In order to solve the above problems,a set of intermittent fault diagnosis system for electrical connectors under vibration environment is designed.The specific research is as follows:Aiming at the problem that it is difficult to find and diagnose the intermittent faults of electrical connectors,an overall design scheme of the intermittent fault diagnosis system for electrical connectors is proposed,which diagnoses the intermittent faults of electrical connectors from two aspects: contact resistance and signal transmission.The hardware system realizes the collection and transmission of the contact resistance and output signal of the electrical connector,and the software system displays the various functional modules of the system through the visual interface,and finally realizes the design of the intermittent fault diagnosis of the electrical connector.Aiming at the problem of classification and identification of intermittent faults of electrical connectors,the feature extraction method based on empirical mode decomposition and the classification and identification method of deep belief network are adopted.Use empirical mode decomposition to decompose the collected electrical connector output signal into intrinsic mode function,combine with the time-domain feature parameter method to obtain more obvious parameters,and pass the normal and faulty feature vector sets as input vectors to the deep confidence Model training is performed in the network to obtain the intermittent fault diagnosis model,and then the intermittent fault diagnosis of the electrical connector is realized.Aiming at the design problem of the intermittent fault diagnosis system of the electrical connector,a data acquisition circuit is designed on the hardware,which mainly includes a signal amplification circuit and an acquisition and transmission circuit,which is controlled by a microcontroller to ensure that the hardware system collects and transmits data in real time.In terms of software,multi-threaded programming technology is used to improve the response speed of the system,and modular design is used to divide the system into multiple functional modules,which mainly include data acquisition,storage,analysis and display functions.The modules are independent of each other,which is convenient for system expansion and upgrade.Finally,taking the electrical connector as the research object,using the excitation control unit to simulate the vibration in the actual scene,a set of intermittent fault diagnosis platform was built,and the experimental tests and verifications were carried out for each function of the system.The results showed that the system can be reliable Work to realize the intermittent fault diagnosis function of the electrical connector under the vibration environment,and verify the effectiveness and practicability of the system. |
