As modern industry gradually moves towards mechatronics, with the continuous improvement in the automation, intelligence, large-scale, and complexity of equipment, the economic losses caused by equipment failures to enterprises are increasing. Therefore, real-time monitoring and fault diagnosis of equipment operating conditions are imperative. It can be said that condition monitoring and fault diagnosis technology for mechanical equipment are important means and key technologies for modern industry to ensure the stability and reliability of production systems, and to improve product quality and production efficiency. This technology is increasingly attracting the attention of researchers engaged in applied basic and engineering technology, and has developed rapidly.

Condition Monitoring: refers to selecting various sensors to online monitor and record parameters that reflect the current operating status of equipment (such as vibration, temperature, pressure, flow, switching time, etc.), monitoring state characteristic signals related to these parameters, and extracting useful symptom information from the characteristic signals.

Fault Diagnosis: also known as fault isolation or state analysis, processes monitored state information and other auxiliary information, eliminates or reduces the effects of noise and interference, extracts the most sensitive and intuitive parameters for faults, identifies the fault source, and then uses this information to estimate and synthesize the extent of the fault's impact on system performance indicators, assigning a fault level.

Control Decision: On one hand, based on characteristic parameters, referring to certain specifications, and through comprehensive analysis, predictions are made about the development trend of equipment status; on the other hand, when a