Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM)
碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 93 === Recently wireless communication is prospered and bring IT ( Information Technology ) into a new decade. Blue Tooth is one important field of wireless communication. It’s no doubt that Blue Tooth will lead the market more than several years in the future. Taiw...
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ndltd-TW-093CYUT50310032015-10-13T15:06:39Z http://ndltd.ncl.edu.tw/handle/54391282839094690180 Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) 可靠度預估與可靠度試驗之研究-以藍芽模組(BTM)產品為例 Kun-Yu Lin 林坤佑 碩士 朝陽科技大學 工業工程與管理系碩士班 93 Recently wireless communication is prospered and bring IT ( Information Technology ) into a new decade. Blue Tooth is one important field of wireless communication. It’s no doubt that Blue Tooth will lead the market more than several years in the future. Taiwan is one important country of IT industry. Also Taiwan stands on the key position of wireless product development and manufacture. Except beautiful outlook and friendly operation, reliability also is one key successful factor for product sale. The product with better reliability is not only more competitive in the market but also easier to build up the brand name of product. This research focus on reliability prediction of Blue Tooth Module (BTM). First, the prediction is conducted during the conceptual and initial design phases of product development using the components of the module design based on MIL standard and Bellcore method separately. The purpose of the prediction is to realize the different life cycle predicted between these two methods. The result shows that predict life cycle of both may meet customer requirement of 3 years warranty but MIL standard is more critical than Bellmore method. Second, reliability test ( Sequential Test and Accelerated Life Testing ) is used to evaluate the accuracy of both reliability prediction. The test result shows that Bellcore method is better than MIL standard. Finally, there are 3 environment factors are chosen for DOE : Temperature, Humidity and Voltage. Based on DOE result, temperature and humidity are significant and test time will get shorter along with temperature and / or humidity get larger. Importantly, this research is helpful for BTM industry to conduct reliability prediction and testing in the future. none 陳銘芷 2005 學位論文 ; thesis 74 zh-TW |
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碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 93 === Recently wireless communication is prospered and bring IT ( Information Technology ) into a new decade. Blue Tooth is one important field of wireless communication. It’s no doubt that Blue Tooth will lead the market more than several years in the future. Taiwan is one important country of IT industry. Also Taiwan stands on the key position of wireless product development and manufacture. Except beautiful outlook and friendly operation, reliability also is one key successful factor for product sale. The product with better reliability is not only more competitive in the market but also easier to build up the brand name of product.
This research focus on reliability prediction of Blue Tooth Module (BTM). First, the prediction is conducted during the conceptual and initial design phases of product development using the components of the module design based on MIL standard and Bellcore method separately. The purpose of the prediction is to realize the different life cycle predicted between these two methods. The result shows that predict life cycle of both may meet customer requirement of 3 years warranty but MIL standard is more critical than Bellmore method. Second, reliability test ( Sequential Test and Accelerated Life Testing ) is used to evaluate the accuracy of both reliability prediction. The test result shows that Bellcore method is better than MIL standard. Finally, there are 3 environment factors are chosen for DOE : Temperature, Humidity and Voltage. Based on DOE result, temperature and humidity are significant and test time will get shorter along with temperature and / or humidity get larger. Importantly, this research is helpful for BTM industry to conduct reliability prediction and testing in the future.
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none Kun-Yu Lin 林坤佑 |
author |
Kun-Yu Lin 林坤佑 |
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Kun-Yu Lin 林坤佑 Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) |
author_sort |
Kun-Yu Lin |
title |
Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) |
title_short |
Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) |
title_full |
Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) |
title_fullStr |
Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) |
title_full_unstemmed |
Reliability Prediction and Reliability Test Study- Case Study by using Blue Tooth Module (BTM) |
title_sort |
reliability prediction and reliability test study- case study by using blue tooth module (btm) |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/54391282839094690180 |
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