| Rolling bearings are the core components of rotating machinery,with a compact structure,high speed,is widely used in aerospace,automotive,high-speed rail,wind power generation,and high precision machine tools and other fields,its operating condition often directly affect the performance of the entire mechanical equipment.Due to the long-term rolling bearing in high-speed,high load,high temperature and other harsh environment work,is one of the most easily damaged parts of rotating machinery.According to the survey,more than 30% of the rotating machinery failure and rolling bearing failure related,and mechanical failure caused by rolling bearing failure lightly make equipment downtime,the heavy will lead to equipment damage,resulting in huge economic losses.Therefore,how to efficiently and accurately realtime online monitoring of rolling bearing operation status is particularly important.Intelligent bearings are an inevitable trend in modern industrial development.By integrating micro-sensors,micro-processors and signal transmitters for different purposes in traditional bearings,signal acquisition,data processing and wireless communication technologies are used to achieve real-time monitoring of bearing status.The integrated microsensors in the smart bearing itself can make it possible to obtain more realistic bearing operation data,avoid signal attenuation caused by long signal transmission paths and the impact of environmental noise,so as to obtain high-quality signals for the timely detection of early faults and potential faults.In view of the current key difficulties in the design of intelligent bearings,this paper takes rolling bearings as the research object to start intelligent bearing structure design and research work,the specific work content is as follows:Firstly,by analysing the working principle and basic structure of rolling bearings,considering the feasible intelligent bearing and self-powered structure design solutions,a smart bearing structure integrating micro-sensor,micro-processor,wireless transmission module and self-powered structure is proposed and designed,a three-dimensional model of the intelligent bearing is established using Solid Works,and an intelligent bearing experiment platform is built.Secondly,a finite element electromagnetic simulation model of the self-powered structure of the smart bearing is established,and the accuracy of the model is verified by comparing physical experiments.The influence of different expansion ring materials,air gap and magnet length on the voltage value is analysed,and finally an integrated self-powered structure of the smart bearing is designed that can continuously provide stable electrical energy to the smart components of the bearing.Then,the hardware selection and software design of the wireless vibration sensor are completed,and the data output rate and noise tests are carried out to ensure that the designed sensor meets the usage requirements.Finally,comparison experiments are carried out to verify the effectiveness and superiority of the intelligent bearing signal acquisition,and the rolling bearing upper computer monitoring software is designed to realise the real-time monitoring of the rolling bearing operation status.The intelligent structure of the rolling bearing proposed in this paper can effectively monitor the operating status of the bearing and realise the self-powered long-term online monitoring of the wireless sensor system,providing a new idea for the fault monitoring and health management of rolling bearings. |