Study On Safety Monitoring Validity Evaluation And Diagnostic Method Of Mechanical Equipment

The development level of large mechanical equipment for a country,has a solid relationship with not only the strength,international status and core competitiveness of a country,but also with the everyday life of each one of us.Large machineries and equipments take credit for people's manufacturing activities and daily lives by bringing conveniences to us,but they might also lead to potential and unseen security problems.If the security problems can not be located in time and then got rid of,they might cause huge economic losses,and even catastrophic casualties,environment disruptions,and terrible social effects.So,researches on safety monitoring and fault diagnosis for mechanical equipments have significant meanings on improving the level of on-the-whole technologies of construction machinery and equipment,promoting manufacturing technology progress,and ensuring manufacturing safeties.The main content of this article includes the following parts.Based on the working process of mechanical equipment and the construction technology,the safety factors and the monitoring contents of bridging machine operation are analyzed.Along with the discussions of the monitoring system architecture,system design principles and the optimization of the design objectives,a criterion has been brought up,regarding the safety monitoring system of bridge erecting machine measuring point optimization,which is to measure the sensitivity and efficiency of each monitoring point,based on the ability of the data of different monitoring points to show the working mode.By using rough set theory,which is dedicated to deal with the incomplete data sets and the problem of classification,in which the prior knowledge are not necessarily needed,an effective evaluation method for mechanical equipment monitoring points is proposed.On the basis of bridging machine construction process,an analysis model is established for monitoring data.The concept of attribute dependence in variable precision rough set theory is introduced,to evaluate the effectiveness of stress monitoring data.This method does not depend on the traditional dynamic mode,but is actually based on the comprehensive analysis on the construction status of multiple monitoring points of signal acquisition under the mechanical equipment.This method also provides a new idea for how to use the monitoring data to deeply understand the status of the large and complex mechanical construction condition.Combined with the summary of methods of bearing fault monitoring,the requirement of digital collection equipment is discussed,from the point of view of the development of vibration monitoring equipment.The potential application of dither technology in the development of vibration monitoring equipment is analyzed,as well as the simulation research.A new method is brought up,regarding bearing fault resonance demodulation based on matching pursuit.Traditional resonance demodulation methods not only highly depend on the experiences of prior demodulation filter processing,but also there is the presence of higher and different frequency resonance signals in the demodulation process which will result in intermodulation.These two factors will both impact on the fault judgment.According to the new algorithm brought up in this article,we can do the matching pursuit before the demodulation,so as to eliminate the non-impact signal,thus it can solve the problem of bandpass filter's relying on the experience of engineering problems.The resonance signals of different frequencies are demodulated respectively and then are combined,in order to avoid the interference to the fault frequency introduced by the intermodulations.The results show that the proposed algorithm can effectively extract the early damage fault of the wheel bearing,which had been already been verified on the test bench.