What is the prospect of vibration monitoring and fault diagnosis industry? My brother has just started this industry. Please give me some advice.

Mechanical fault diagnosis needs to further determine the nature, degree, category, location, cause and development trend of the fault, so as to provide basis for prediction, control, adjustment and maintenance. It mainly includes signal detection, feature extraction, state recognition and diagnosis decision. In the past decades, diagnostic technology has produced great economic benefits and has become a hot research topic in various countries. From the various branches of diagnostic technology, the United States occupies a leading position. Some American companies, such as Bentley and Hewlett-Packard, basically represent the highest level of diagnostic technology today. Their monitoring products not only have perfect monitoring functions, but also have powerful diagnostic functions, which are widely used in the fields of universe, military, chemical industry and so on. Three sets of artificial intelligence diagnostic software (TurbinAID, generator GenAID hydrochemistry ChemAID) of Westinghouse Company have played a great role in the safe operation of its units. And delta; An expert system for diesel locomotive fault diagnosis developed by General Electric Company of the United States. Power system diagnosis expert system developed by NASA: expert system for noise diagnosis of automobile engine cooling system developed by Delio Products Company, engine cooling sensor, etc. In recent years, due to the rapid development of microcomputers, especially portable computers, on-line and off-line monitoring and diagnosis systems based on portable computers have become increasingly popular, such as M6000 series products produced in the United States, which have been widely used. The Association of Machine Health Care and Condition Monitoring was established in Britain in the early 1970s. By the early 1980s, a lot of work had been done in developing and popularizing equipment diagnosis technology, which played a positive role in promoting it. Watson Industrial Maintenance Company founded by Manchester University and Friction and Wear Research Center of Swansea University are well-known in the research of diagnostic technology. In nuclear power generation, the British Atomic Energy Institute uses noise analysis to monitor the furnace body, as well as nondestructive testing of boilers, pressure vessels and pipelines, which plays the role of the British fault data center. At present, Britain is still in a leading position in the monitoring and diagnosis of friction and wear, automobile and aircraft engines. The development of diagnostic technology in some European countries has its own characteristics. Such as bearing monitoring technology of SPM company in Sweden and infrared thermal imaging technology of AGEMA company; Norwegian ship diagnosis technology; B& amp； In Denmark; K company's vibration and noise monitoring technology has its own advantages. Japan has advantages in the diagnosis technology of civil industries such as steel and chemical industry. Universities such as Tokyo University, tokyo institute of technology, Kyoto University and Waseda University focus on basic theoretical research; National research institutions such as Institute of Mechanical Technology and Institute of Ship Technology focus on the diagnosis of mechanical basic parts; Private enterprises such as Mitsubishi Heavy Industries have carried out systematic work in fault diagnosis of rotating machinery, and the developed "Mechanical Health Monitoring System" has played an effective role in fault monitoring and diagnosis of steam turbine generator sets. The development of diagnostic technology in China began in the late 1970s, and the real start should start with 1983 Nanjing First Equipment Diagnostic Technology Seminar. Although it started late, after several years of efforts, and the relevant government departments have organized foreign experts to give lectures in China many times, it has basically kept up with the pace of foreign countries in this field and is comparable to foreign countries in some theoretical research. At present, China has its own characteristics in the diagnosis and research of some specific equipment, and has formed a number of its own monitoring and diagnosis products. All industries in China attach great importance to equipping key equipment with fault diagnosis systems, especially intelligent fault diagnosis expert systems, power systems, petrochemical systems, metallurgical systems, nuclear power plants in high-tech industries, aviation departments and manned spaceflight projects. The work focuses on the fault diagnosis system of large-scale rotating machinery, and more than 20 fault diagnosis systems of units and 10 portable field data collectors which can be used for field fault diagnosis have been developed. The diagnosis technology of turbo-generator and compressor has been included in the national key research project and has been highly valued. However, Xi Jiaotong University's "Computer Condition Monitoring and Fault Diagnosis System for Large Rotating Machinery" and Harbin Institute of Technology's "Computer Monitoring and Fault Diagnosis System for Unit Vibration". After years of research, the Equipment Diagnosis Engineering Center of Northeastern University has successfully developed "Monitoring and Diagnosis System for Rolling Mill Condition" and "Monitoring and Diagnosis System for Fan Condition", and both have achieved gratifying results. Signals that can be used for mechanical condition monitoring and fault diagnosis include vibration diagnosis, oil sample analysis, temperature monitoring and nondestructive testing, supplemented by other technologies or methods. Among them, vibration diagnosis involves the widest field, the strongest theoretical basis and the most thorough research. At present, in the analysis and processing of vibration signals, in addition to the classical statistical analysis, time-frequency domain analysis, time series model analysis and parameter identification, frequency refinement technology, cepstrum analysis, * * * vibration demodulation analysis, three-dimensional holographic spectrum analysis, axis trajectory analysis, short-time Fourier transform, Winger distribution, wavelet transform based on non-stationary signal assumption, etc. are all developed recently. The research results of contemporary artificial intelligence have injected new vitality into mechanical fault diagnosis. Fault diagnosis expert system not only develops in theory, but also has successful application examples. As an important branch of artificial intelligence, the research of artificial neural network has become a new research hotspot in the field of mechanical fault diagnosis. With the development of computer technology, embedded technology and emerging virtual instrument technology, fault diagnosis equipment and instruments have developed from analog monitoring instruments to real-time online monitoring and fault diagnosis systems based on computers and portable monitoring and analysis systems based on microcomputers. Generally, this kind of system has powerful signal analysis and data management functions, which can comprehensively record all kinds of information reflecting the changes of machine running state and realize accurate fault diagnosis. With the development of network technology, remote distributed monitoring and diagnosis system has become the focus of research and development.