科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
10期
109-111
,共3页
船舶柴油机%故障诊断%油液铁谱分析
船舶柴油機%故障診斷%油液鐵譜分析
선박시유궤%고장진단%유액철보분석
marine diesel engine%fault diagnosis%ferrographie oil analysis
船舶柴油机的油液铁谱分析是实现故障诊断的重要方法。基于油液铁谱分析的船舶柴油机故障的传统检测方法是采用超声波固-液界面检测算法,导致柴油机故障信号出现环绕波齐次衰减,故障诊断效果不好。提出一种基于模糊伸缩约束控制柴油机油液铁谱分析的故障诊断方法,基于DSP设计船舶柴油机油液铁谱制谱仪和铁谱故障检测硬件系统,采用ADSP-BF537设计油液铁谱分析的电源,选用ADM706SAR芯片设计电路复位。算法设计中,构建油液铁谱分析能量模糊规则方程,设定模糊伸缩约束控制条件补偿油液铁谱分析模型的不确定性,实现对故障的准确定位和检测。实验结果表明,采用该方法进行柴油机故障信号油液铁谱分析和故障诊断,故障亮点定位准确,具有多故障状态监测应答的性能,故障准确发现概率提高显著。
船舶柴油機的油液鐵譜分析是實現故障診斷的重要方法。基于油液鐵譜分析的船舶柴油機故障的傳統檢測方法是採用超聲波固-液界麵檢測算法,導緻柴油機故障信號齣現環繞波齊次衰減,故障診斷效果不好。提齣一種基于模糊伸縮約束控製柴油機油液鐵譜分析的故障診斷方法,基于DSP設計船舶柴油機油液鐵譜製譜儀和鐵譜故障檢測硬件繫統,採用ADSP-BF537設計油液鐵譜分析的電源,選用ADM706SAR芯片設計電路複位。算法設計中,構建油液鐵譜分析能量模糊規則方程,設定模糊伸縮約束控製條件補償油液鐵譜分析模型的不確定性,實現對故障的準確定位和檢測。實驗結果錶明,採用該方法進行柴油機故障信號油液鐵譜分析和故障診斷,故障亮點定位準確,具有多故障狀態鑑測應答的性能,故障準確髮現概率提高顯著。
선박시유궤적유액철보분석시실현고장진단적중요방법。기우유액철보분석적선박시유궤고장적전통검측방법시채용초성파고-액계면검측산법,도치시유궤고장신호출현배요파제차쇠감,고장진단효과불호。제출일충기우모호신축약속공제시유궤유액철보분석적고장진단방법,기우DSP설계선박시유궤유액철보제보의화철보고장검측경건계통,채용ADSP-BF537설계유액철보분석적전원,선용ADM706SAR심편설계전로복위。산법설계중,구건유액철보분석능량모호규칙방정,설정모호신축약속공제조건보상유액철보분석모형적불학정성,실현대고장적준학정위화검측。실험결과표명,채용해방법진행시유궤고장신호유액철보분석화고장진단,고장량점정위준학,구유다고장상태감측응답적성능,고장준학발현개솔제고현저。
Ship diesel oil and iron spectrum analysis is an important method to realize fault diagnosis. The traditional meth-od of marine diesel engine fault detection method is taken based on spectrum analysis of oil liquid iron by the ultrasonic sol-id-liquid interface detection algorithm, resulting in diesel engine fault signal appeared and the detection effect is not good. A fuzzy extension constraint control diesel oil ferrography fault diagnosis method is proposed. Hardware system of fault de-tection is designed, the power is designed based on ADSP-BF537, and ADM706SAR chip is used to design the reset cir-cuit. In algorithm design, oil ferrography analysis energy equation is constructed with set fuzzy rules, fuzzy extension con-straint control condition is used for compensation oil ferrography analysis model uncertainty, the accurate localization and detection of fault is realized. The experimental results show that, the method has better fault point positioning accuracy, and it has multiple fault condition monitoring response performance, the accurate fault detection probability increases signifi-cantly.