【摘要】：大型機(jī)械設(shè)備組成結(jié)構(gòu)復(fù)雜,容易產(chǎn)生故障,通過(guò)對(duì)大型機(jī)械設(shè)備的振動(dòng)系統(tǒng)故障診斷,提高大型機(jī)械設(shè)備的穩(wěn)定運(yùn)行性能。傳統(tǒng)的故障診斷方法采用海量振動(dòng)樣本特征數(shù)據(jù)聚類分析方法進(jìn)行故障分類和診斷,診斷性能受到振動(dòng)數(shù)據(jù)樣本采集和環(huán)境的特征的限制,故障檢測(cè)效果不好。提出一種基于大型機(jī)械設(shè)備振動(dòng)系統(tǒng)故障特征專家系統(tǒng)構(gòu)建的故障診斷模型,并采用abaqus軟件進(jìn)行仿真分析。構(gòu)建故障診斷專家系統(tǒng),包括對(duì)模糊數(shù)據(jù)庫(kù)、模糊知識(shí)庫(kù)和模糊推理機(jī)的構(gòu)建,設(shè)計(jì)故障診斷的神經(jīng)網(wǎng)絡(luò)模糊控制學(xué)習(xí)算法,通過(guò)設(shè)計(jì)人機(jī)結(jié)構(gòu),實(shí)現(xiàn)對(duì)大型機(jī)械設(shè)備振動(dòng)系統(tǒng)故障的準(zhǔn)確推斷決策。利用abaqus軟件在計(jì)算機(jī)上建立測(cè)試虛擬樣機(jī),實(shí)現(xiàn)故障診斷在線模型仿真,了解復(fù)雜機(jī)械系統(tǒng)設(shè)計(jì)的故障運(yùn)行性能。仿真結(jié)果表明,該系統(tǒng)能有效提高對(duì)大型機(jī)械設(shè)備振動(dòng)系統(tǒng)的故障診斷能力,實(shí)現(xiàn)智能故障診斷控制和自適應(yīng)故障處理,在機(jī)械狀態(tài)監(jiān)測(cè)等領(lǐng)域具有較好的應(yīng)用價(jià)值。
[Abstract]:The composition and structure of large mechanical equipment is complex and easy to cause faults. Through the fault diagnosis of vibration system of large mechanical equipment, the stable operation performance of large mechanical equipment can be improved. The traditional fault diagnosis method uses massive vibration sample feature data clustering analysis method for fault classification and diagnosis. The diagnosis performance is limited by vibration data collection and environmental characteristics, and the fault detection effect is not good. A fault diagnosis model based on fault characteristics expert system of vibration system of large mechanical equipment is proposed, and the simulation analysis is carried out by using abaqus software. The fault diagnosis expert system is constructed, including the construction of fuzzy database, fuzzy knowledge base and fuzzy inference engine, the learning algorithm of neural network fuzzy control for fault diagnosis is designed, and the man-machine structure is designed. The accurate inference and decision of vibration system fault of large mechanical equipment is realized. The virtual prototype of test is established on the computer by using abaqus software, and the online model simulation of fault diagnosis is realized, and the fault operation performance of complex mechanical system design is understood. The simulation results show that the system can effectively improve the fault diagnosis ability of large mechanical equipment vibration system, realize intelligent fault diagnosis control and adaptive fault treatment, and has good application value in mechanical condition monitoring and other fields.
【作者單位】： 濟(jì)源職業(yè)技術(shù)學(xué)院;
【分類號(hào)】：TH17

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