【正文】 由于采用了對設備運行狀況的監(jiān)控手段，網(wǎng)絡診斷中心可以通過網(wǎng)絡傳輸信息，隨時完成對設備運行的遠程檢測和監(jiān)控，遠程監(jiān)控系統(tǒng)還可以采集生產(chǎn)設備運行狀況的診斷信息，多程檢測系統(tǒng)可以用來控制同一條生產(chǎn)線，所有檢測儀器可以 共享診斷數(shù)據(jù)。其中，基 于控制模型的故障診斷需要通過理論或?qū)嶒灧椒ń⒛Ｐ?。旋轉(zhuǎn)機械振動通常是強烈的諧波，其故障也通常注冊為一些諧波成分的變化。Gao 等人 [10]研究了高速透平機械振動故障機理，探討了振動頻率和振動發(fā)電之間的關系，并擬定了振動故障原因，次同步、同步和超同步振動的機制 和識別功能表。 [3，4]。概述了一些現(xiàn)有的信號處理和特征提取方法。K Company Bamp。K 3450 COMPASS system, etc. China has also successively developed large online monitoring and fault diagnosis system, which has been put into use on steam turbine and other important equipments. Based on the realization of condition monitoring of equipments, work diagnostics center can monitor and diagnose the operation of equipments at any time through the work to achieve the long distance information transmission. The remote monitoring system can also achieve the collaborative diagnosis of production equipments, multiple diagnostic systems serve the same piece of equipment, and multiple devices share the same diagnostic system. 山東交通學院畢業(yè)設計 11 6. Conclusions To achieve a dynamic system condition monitoring and fault diagnosis, primary task is the need to get enough reliable characteristic information from the system. Due to the fluctuation of the system itself and the environment disturbance, reliable signal collection is seriously affected. It is therefore very urgent for advanced signal processing technology to eliminate noise to get true signal. No matter classical or advance fault diagnosis techniques, they have achieved great progress in various applications. In the point of systematic view, every technology is a part of the whole diagnostic system, and the efficient fusion of these parts will provide best performance for the condition monitoring and fault diagnosis. Thus, the fault mechanism research, signal processing and feature extraction, fault reasoning research and equipment development will connect even tighter to form an effective fault diagnostic expert system in the future. To realize the expert system, the core issue is to break through the bottleneck of knowledge acquisition, update the data model in a reliable manner and provide good generalization ability of the expert system. By doing so, the fault diagnostic expert system can offer accurate estimation of the potential abnormalities, and prevent them before breaking out to ensure the normal operation of the machines. Hence, the loss caused by the machine breakdowns can be minimized significantly. Acknowledgements This project is sponsored by the grants from the National Natural Sciences Foundation of China (NSFC) (No. 50975213). 外文翻譯原文及譯文 12 References [1] Wu XK. The fault diagnosis based on information fusion theory and its application in internal bustion engine. . thesis, Wuhan University of Technology, 1998. [2] Chen YR. Modern signal processing technology in the application of vibration diagnosis of internal bustion . thesis, Wuhan University of Technology, 1998. [3] Qu LS, He ZJ. Mechanical fault diagnostics. Shanghai: Shanghai Science and Technology Press, 1986. [4] Huang WH, Xia SB, Liu RY. Equipment fault diagnosis principle, technology and application. Beijing: Science Press, 1996. [5] Jayaswalt P, Wadhwani AK. Application of artificial neural works, fuzzy logic and wavelet transform in fault diagnosis via vibration signal analysis: A review. Australian Journal of Mechanical Engineering 2020。對這些技術的優(yōu)點和缺點進行了討論。 機械故障診斷的內(nèi)容包含四個方面，包括故障機理研究，信號處理和特征提取， 故障推理研究，以及設備狀態(tài)監(jiān)測和故障診斷的開發(fā) 。根據(jù)表格他們提出，他們已經(jīng)將典型的故障分為 10 個類型和 58 種，并在機械設計與制造，安裝和維護，操作及機器降解方面提供預防措施。傳統(tǒng)頻譜分析基于傅里葉變換（如平均 時域技術，頻譜分析，倒頻譜分析和解調(diào)技術），可以有效提取故障特征信息，因此它被廣泛的用于動力機械，尤其是在旋轉(zhuǎn)機械振動監(jiān)測和故障診斷。系統(tǒng)參數(shù)或系統(tǒng)狀態(tài)的變化可以直接反映設備的物理過程的變化，因此，它可以為故障診斷提供依據(jù)。 山東交通學院畢業(yè)設計 21 要實現(xiàn)動態(tài)系統(tǒng)監(jiān)控和故障診斷，最主要的是系統(tǒng)能夠采集到可靠的特征信息，但是由于系統(tǒng)自身的波動和設備本身的干擾信號信息經(jīng)常受到干擾，所以很重要的一點是要依靠先進的數(shù)據(jù)處理技術排除噪音以保證數(shù)據(jù)的準確性。中國也成功地開發(fā)出大型在線故障診斷系統(tǒng)，主要用于蒸汽渦輪機等重要設備。（ 3）基于人工智能的故障診斷。 振動信號分析的早期研究主要集中在傳統(tǒng)的信號分析，進行了大量的研究和應用進展。大量的相關工作在中國也已經(jīng)完成。這樣做，最優(yōu)化維修策略可以被制定 ，因此，工業(yè)可以從狀態(tài)監(jiān)測中大大獲益。從故障機理研究，信號處理和特征提取，故障推理研究和設備開發(fā)等方面進行了出色的工作。 (3) the fault diagnosis based on artificial intelligence. Among them, the fault diagnosis based on control model needs to establish model through theoretic or experimental methods. The changes of system parameters or system status could directly reflect the changes of equipments physical process, and hence it is able to provide basis for fault diagnosis. This technology refers to model establishment, parameters estimation, status estimation, applica