| Ozone is one of the strongest oxidizing and bleaching agents without residues that could be harmful to the environment. For this reason, High power DBD Ozone generating device has been used for a variety of applications, such as bleaching,deodorization and disinfection of water and industrial waste water. The request for reliability and fault diagnosis ability of system is higher and higher along with the device power heightening.The purpose of this paper is to research and design fault diagnosis system of high power DBD ozone generating device. On the basis of the existing fault diagnosis technology research, the paper gives a detailed analysis of all kinds of possible fault of the device according to the function constitution of the ozone generating device and the condition affecting normal operation of the system. According to the feather of the fault and the signals which reflect the fault, the paper has classified the fault to four sorts: oxygen source fault, cooling system fault, ozone generating tube fault and power fault. To the oxygen source fault and cooling system fault, the paper diagnoses by comparison. Because the fault of the tube change the resonance frequency of the power, the paper diagnoses by detecting the changes of the work frequency of the power to the ozone generating tube fault. The fault diagnosis of the power is very complicated compared with the fault diagnosis of the oxygen source, cooling system and ozone generating tube. The paper separates the power fault to rectifier fault and inverter fault. The fault diagnosis system analyzes the voltage of the rectifier output and the voltage of the IGBT separately. By comparison, the fault diagnosis system designed in the paper can diagnose if power goes wrong and locate to the rectifier and the inverter. By using ANN, the fault diagnosis system can diagnose which component goes wrong. On the basis of the research on ozone generating device and the power, the paper designs ozone power fault simulating system and simulates all kinds of fault of the power. On the basis of the above, the paper designs the circuit of various non-electric and electric signals and designs a fault diagnosis system on DSP. The system on DSP can accomplish the collection and store of the information. The system can accomplish fault diagnosis of the oxygen source, cooling system, ozone generating tube and power. The system can start and stop the device. The system can also protect the device and give alarm. The paper does some research of BP ANN and its application in ozone power and designs a fault diagnosis system based on BP ANN. The simulation result proves it useful of the research and design. |
