近年來隨著機械製造技術的進步，因此機械功能性也更顯複雜，對於操作人員而言，擁有高效率的監控與維護的平台才能即時處理機械的突發狀況。以往機械單元若發生故障時，往往必須花費相當大的成本在故障排除的工作上，若能建構一即時診斷環境，提供使用者隨時掌握加工的各項重要資訊，並於異警發生時提供適當的輔助機制，達成網絡化診斷維修之目的，此一課題值得深入探討與研究。

　　本文提出以Web-based對於機械單元進行遠程診斷與後勤維修的解決方案。在機械故障異警方面分為兩大類，第一類為自我偵測型異警，針對此故障特性運用貝氏集合理論(Bayesian Set Theorem)並藉由FMEA之輔助建構智能化推論引擎，分析知識庫之中異警與失效原因的交叉關係與機率集合分布，改善傳統鏈結式之推論缺點。第二類為人工感知型異警，依據使用者觀察之現象而判定之異警故障，針對此類別應用案例式推論方法（Case-based Reasoning）建立診斷模型，以累積故障維修的知識技能，並結合後勤維修機制進而達成故障排除任務。為了驗證原型系統架構之可行性，以加工中心作為驗證對象，針對其嵌入式控制系統進行聯繫溝通，並與集中式遠程監控系統(NX-5 Remote Control System, RCS)進行整合與應用。本文為網絡化維修診斷的具體實施，奠定了一定的基礎，解決以往機械發生故障時，無法立即作出處置的窘境，並提昇設備運作之穩定性，加速工業自動化與電子化相互結合之推動。

　　The manufacturing technology of machines is mature gradually, and to promote the machine functions is becoming more complex gradually in the same time. For the manufacturer, to possess a high-effect remote & maintenance platform, and then to handle machine alarm states in real time are very important. Formerly if the machine unit gave the alarms, manufacturers had to spend a lot of time to eliminate where the machine is breakdown. If it enables to build a real-time diagnosis environment, users might be able to obtain the information of manufacturing in real time. This function can offer users the problem solutions of manufacturing and breakdown. The topic merits discussion and study.

　　This paper presented a web-based remote diagnosis and maintenance solution for machine units. Machines divide the alarm into two groups. The first group is the Auto-sense alarm. The diagnosis structure applies the Bayesian Set Theorem that is assisted with Failure Model & Effects Analysis (FMEA) to build an intelligent reference engine. It analyses the relationship between alarms and failure cases and improves the defect of the chain type reference. The second group is the Human-Sense alarm. It applies Case-based Reasoning (CBR) method to build the diagnosis model and accumulate a mass of maintenance knowledge. The prototype system combines diagnosis function and maintenance function and procures the target of eliminate breakdown.

　　For testing and verifying whether the prototype system structure being feasible or not, the machining center is used as an experience subject. The system utilizes an embedded control system of MC as a communication platform and combined the NX5 remote control system. Some basis for concrete realization of e-diagnosis and e-maintenance is established in this paper. To solve machine units which give the alarm, manufacturers can’t eliminate machine faults in real time and improve the efficiency of the integration of the industry manufacture automation and electronic commerce.

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