可靠度工程對於國防工業與民間企業而言,是一種追求品質最佳化的過程,在現今追求高品質的社會環境,品質是造成差異化優勢的重要手段,可靠度越高代表著產品越具有競爭力,越能在軍事裝備與商用器材的市場上形成區隔。因此,系統裝備的可靠度優劣,已成為市場競爭之決勝因素。 近年來由於高科技發展日趨精密,所生產的裝備價格日益昂貴,對於系統可靠度的要求自然提昇,而企業本身,為求能創造利潤、節省成本,持續進行可靠度改善工程,以避免經常性故障與修理的高昂成本。因此如何將可靠度數量化並加以運用於所製造之產品,使其不斷精進,已成為現在各公民營機構全力追求的目標。 本論文參考過去對電子裝備所採用的可靠度評估方式,以某型飛機飛行控制系統為例,藉由實地蒐集失效資料,經卡方檢定及K-S檢定方式,先行確認失效樣本符合何種分配模式,再以指數分配求出平均失效間隔時間(MTBF),及以信賴水準估計失效件的信賴區間,瞭解系統實際可靠度,使修護人員及維修指揮官,能下達至當修護決策;同時透過失效數據彙整,分析系統失效之原因,提供廠家進行研改之參考依據。
Reliability engineering is the process of chasing the highest quality and optimize for both national defense industry and private enterprise. Currently, the quality has become the key factor of taking the advantage in our society. As a matter of fact, the higher reliability means higher competitiveness. Obviously, such sense appears in the military equipment market as well as commercial components market. Therefore, equipment with reliability system has already becomes the final decision for our competitive market. Recent years, the high tech industry has become much modernize compares with before. As the result, the price for those updated equipment has gone way up, so does to the system reliability. Most enterprises try to create the benefit and budget saving, at the mean time to avoid the system failure frequency and reduce the maintenance cost. Consequently, the best solution for above situation is continuously improvement on the reliability engineering. It’s quite significant that enterprises can keep progressing and use the reliability asset to apply into the production line; such decision has become the destination of all enterprise organization. This thesis refers to the past about the reliability evaluation for electronic devices. The best example for that is the aircraft digital flight control system; by collecting the field data right after the Chi-Square test & Kolmogorov-Smirnov test, the computer makes sure the failure sample meet the distribution, then uses the exponential distribution to calculate mean time between failure (MTBF); Next, the computer utilizes confidence interval to estimate failure range, tries to get the real reliability asset which supports the mechanical maintenance personnel and commander to do the right decision; meanwhile, the failure data can be collected and analyzed, so that the reader can find out the root causes and send them to the vender for additional studying.
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