The complexity of automotive diagnostic technology, automotive technology development level of the knot should be the diagnostic method can be divided into artificial experience in the diagnosis, simple instruments diagnosis, sophisticated detection diagnostics, and artificial intelligence diagnosis four kinds.
Diagnosis of human experience: the 1950s, the car structure is relatively simple, small electrical equipment fault diagnosis can be done, according to the human experience. At present, the artificial experience in the diagnosis of certain complex fault diagnosis is still very effective.
Simple instrument diagnostics: the beginning of the 1950s to the 1970s, due to the increasing complexity of the structure of the car, the electrical equipment is also gradually increasing. Automobile fault diagnosis process requires the help of a vacuum gauge, pressure gauge, multi-meter and oscilloscope
Precision detection and diagnosis: the early 1980s to the early 1990s, due to the increasingly high degree of car electronic, the dynamic random faults as well as the control system functional failure increasing number. Calculator technology as the core of a variety of sophisticated detection methods are widely used, the vehicle state detection level and the degree of accuracy has been greatly improved, and has greatly improved the accuracy of fault diagnosis. As the various engine analyzers, computer detector, and a variety of electronic testing instruments are essential instruments of precision detection. And other equipment on the assembly and parts testing determines the state of technology.
AI diagnosis: 1990s, due to the growing number of car electronic equipment, and models and control technology is different. Therefore, vehicle maintenance, fault diagnosis has become a critical issue. The application of artificial intelligence theory and technology and modern information technology development will contribute to a variety of systems fault diagnosis problem solution.
Diagnosis of human experience: the 1950s, the car structure is relatively simple, small electrical equipment fault diagnosis can be done, according to the human experience. At present, the artificial experience in the diagnosis of certain complex fault diagnosis is still very effective.
Simple instrument diagnostics: the beginning of the 1950s to the 1970s, due to the increasing complexity of the structure of the car, the electrical equipment is also gradually increasing. Automobile fault diagnosis process requires the help of a vacuum gauge, pressure gauge, multi-meter and oscilloscope
Precision detection and diagnosis: the early 1980s to the early 1990s, due to the increasingly high degree of car electronic, the dynamic random faults as well as the control system functional failure increasing number. Calculator technology as the core of a variety of sophisticated detection methods are widely used, the vehicle state detection level and the degree of accuracy has been greatly improved, and has greatly improved the accuracy of fault diagnosis. As the various engine analyzers, computer detector, and a variety of electronic testing instruments are essential instruments of precision detection. And other equipment on the assembly and parts testing determines the state of technology.
AI diagnosis: 1990s, due to the growing number of car electronic equipment, and models and control technology is different. Therefore, vehicle maintenance, fault diagnosis has become a critical issue. The application of artificial intelligence theory and technology and modern information technology development will contribute to a variety of systems fault diagnosis problem solution.