故障诊断技术主要包括主观诊断、数字模型技术以及信息处理和识别技术等，在

故障诊断技术主要包括主观诊断、数字模型技术以及信息处理和识别技术等，在对机电设备诊断过程中能够全面了解机电设备的故障问题，并记录好故障信息，有针对性的采取合理的处理措施和预防措施，防止机电设备故障问题再次发生。在主观诊断过程中，工作人员需要结合自身经验以及以往的故障发生记录，对容易出现故障的位置进行排除，检查设备中零件是否出现损坏和磨损。数字模型技术是通过构建数学模型，对机电设备运行状况进行分析，对容易出现故障的位置进行排查，有针对性的提出维修举措。此外，通过现代化信息采集技术，在实际应用中能够更好的找出故障产生位置和原因，提升故障维修效率和质量，确保机电设备能够平稳运行。对于机电设备的检测，振动监测技术可以通过采集技术来分析设备的故障位置和原因，能够客观了解设备的零件磨损情况和振动；声监测诊断技术，主要是通过噪声诊断、超声波诊断技术，寻找噪声，以求准确判断故障位置，有针对性的提出解决措施。

Fault diagnosis technology mainly includes subjective diagnosis, digital model technology and information processing and identification technology. In the process of electromechanical equipment diagnosis, it can fully understand the fault problems of electromechanical equipment, record the fault information, and take reasonable treatment and preventive measures to prevent the recurrence of electromechanical equipment faults. In the process of subjective diagnosis, the staff need to eliminate the positions prone to faults and check whether the parts in the equipment are damaged and worn in combination with their own experience and previous fault records. Digital model technology is to build a mathematical model to analyze the operation status of electromechanical equipment, troubleshoot the locations prone to failure, and put forward targeted maintenance measures. In addition, through modern information acquisition technology, we can better find out the location and causes of faults in practical application, improve the efficiency and quality of fault maintenance, and ensure the smooth operation of electromechanical equipment. For the detection of electromechanical equipment, vibration monitoring technology can analyze the fault location and causes of equipment through acquisition technology, and can objectively understand the wear and vibration of equipment parts; Acoustic monitoring and diagnosis technology is mainly to find the noise through noise diagnosis and ultrasonic diagnosis technology, so as to accurately judge the fault location and put forward targeted solutions.

Fault diagnosis technology mainly includes subjective diagnosis, digital model technology, information processing and identification technology, etc. In the process of diagnosing mechanical and electrical equipment, we can fully understand the mechanical and electrical equipment fault problems, record the fault information, and take targeted and reasonable treatment measures and preventive measures to prevent the mechanical and electrical equipment fault problems from happening again. In the process of subjective diagnosis, the staff need to eliminate the fault-prone positions and check whether the parts in the equipment are damaged or worn by combining their own experience and previous fault occurrence records. Digital model technology is to build a mathematical model, analyze the operation status of mechanical and electrical equipment, investigate the locations prone to faults, and put forward targeted maintenance measures. In addition, through modern information collection technology, the location and causes of faults can be better found in practical application, the efficiency and quality of fault maintenance can be improved, and the mechanical and electrical equipment can run smoothly. For the detection of electromechanical equipment, vibration monitoring technology can analyze the fault location and causes of the equipment through acquisition technology, and can objectively understand the wear and vibration of the parts of the equipment; Acoustic monitoring and diagnosis technology, mainly through noise diagnosis and ultrasonic diagnosis technology, seeks for noise, in order to accurately determine the fault location, and puts forward targeted solutions.