IMMUNE MECHANISM FOR GAS VALVES OF RECIPROCATING COMPRESSORS

Liu Shulin

(Department of Mechanical Engineering, Daqing Petroleum Institute, Daqing 163318)

  Huang Wenhu  Xia Songbo

(College of Astronautics, Harbin Institute of Technology, Harbin 150001)

  Chen Yesheng

(Technology Centre, Daqing Petroleum Administrative Bureau, Daqing 163400)

Abstract: The faults of gas valves often happen for reciprocating compressors. Because of the complex mechanism and insufficient fault samples, it is often difficult to detect the faults of gas valves effectively for common detection methods. In order to detect the faults of gas valves accurately, the abnormal detection problem to equipment is described and some terms (for example, state space of equipment, self-nonself space and fuzzy space) are introduced based on the negative selection mechanism of natural immune system and the negative selection algorithm. Consequently, the approach suit for detecting the faults of gas valves is proposed. The result of detection for the common faults of gas valves shows the approach can efficiently detect the faults of gas valves in the way of abnormality curve. This shows the approach is valid. The fault detection approach based on immune mechanism can detect the faults of equipment by learning normal data without fault data. It can efficiently detect the faults of the equipment that lacks fault data.

Key words: Reciprocating compressors  Gas valves  Fault detection  Immune mechanism  Algorithm

CLC No: TP339

黑龙江省自然科学基金资助项目(F01-07). Received 20031008, received in revised form 20031225