Design Of Non-invasive Motor Condition Monitoring And Fault Diagnosis System

In our daily life and industrial production,large electrical equipment is everywhere,the core of these equipment is asynchronous motor,as the most used equipment in the world,the safety of the motor is very important.Once the motor has different degrees of fault,it will affect our daily life,and it will have a huge impact on our life safety and national property.Therefore,it is very necessary to detect the state of the motor and analyze the fault.Therefore,this paper studies the non-invasive motor condition monitoring and fault diagnosis.Firstly,based on the principle of electromagnetic field in electrical machinery,the relationship between electromagnetic field and characteristic components of induction motor in normal state and various fault states is deeply studied,and the relevant conclusions are derived,which lays the foundation for the follow-up research.When the motor is in fault,the electromagnetic induction signal collected by electromagnetic transformer has the influence of high-order harmonics and various noises,so it is difficult to extract the characteristic components for comparison.in ord to solve this problem,this paper use fast Fourier transformation to denoise and filter that noise to get accurate fault characteristic components,and verifies and analyze various fault data through to verify its correctness.STM32F103 is selected as the CPU of the design.The hardware includes power supply circuit,electromagnetic and voltage sensors,signal conditioning circuit,A/D conversion circuit,reset circuit,SD memory card,communication circuit.The software part is selected (?)C/OS-ΙΙ as the system software of the device.