Research On Fault Detection And Diagnosis System Of Rotor-chamber Automata Driving Mechanism

The driving mechanism of automatic is the key to the normal operation of high firing rate weapon.The automatic drive mechanism is key to the proper functioning of high velocity weapons and is also the component with the highest incidence of failure due to the extreme conditions of high temperatures and pressures over long periods of time.The main types of faults in the automatic drive mechanism are concentrated in three areas:air closure of the bushing,strength of the shut-off weight and sliding displacement of the slide plate.Research into the detection and diagnosis of faults in the drive mechanism of rotary chamber automata is therefore of particular importance.In this paper,the adjective design of a fault detection and diagnosis system for the drive mechanism of a rotary bore automatic machine is completed,which taking into account the functional requirements and technical specifications of the system,including the research and development of the signal acquisition equipment and the construction of the fault detection and diagnosis system platform.In this system,mainly from the following aspects:1.The hardware design of signal acquisition equipment is completed.Aiming at the problems of single detection function,low accuracy and complex operation of previous detection equipment,a multi-functional detection signal acquisition equipment is developed,which synchronous acquisition and transmission of multiple signals not only can be carried out but also is easy to install.The hardware part of the device is mainly divided into five modules according to the functional requirements of the system,including signal conditioning module,wired/wireless transmission module,storage module and power supply module.2.The software design of the fault detection and diagnosis system for the driving mechanism of the rotary chamber automatic machine is completed.The software design of the system can be divided into the software design of signal acquisition equipment and the software design of fault detection and diagnosis platform.The software design of the signal acquisition equipment is mainly to drive the hardware part;the software design of the fault detection and diagnosis platform is mainly to reasonably control and regulate the normal operation of the whole system,which includes the functions of signal acquisition,storage,transmission and processing,etc.The platform controls the signal acquisition equipment to collect,store and transmit the measured signals on the one hand,and analyses and processes the test data on the other.The platform controls the acquisition,storage and transmission of the measured signals on the one hand,and analyses and processes the test data on the other to determine the fault status of the entire system.3.The research of fault detection method for driving mechanism of rotary bore automata is completed,which mainly includes two aspects:(1)An improved EEMD feature extraction method is proposed for the characteristics of non-smooth,non-linear signals collected by the drive mechanism of an automaton and incorporating the effects of the test environment,thereby eliminating spurious components in the EEMD signal decomposition process.(2)In order to judge the similarity between normal and faulty signals,the traditional way of judging the covariance of the Marcian distance no longer meets the practical needs.To address such problems,a method of judging the Marcian distance-sensitive threshold is adopted in this paper so as to detect the faulty state of the drive mechanism of the rotary chamber automaton,and the feasibility of the detection method was verified by the results.4.The fault diagnosis method of the drive mechanism of the rotary automata is studied.Aiming at the problems of slow convergence speed,poor nonlinear performance,complex network structure and sensitive initial parameters in the previous fault diagnosis methods,a SOM neural network fault diagnosis method is adopted to classify the faults of the drive mechanism of the rotary automata,and the results prove the feasibility of the diagnosis method.