期刊論文
| 學年 | 93 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2005-01-01 |
| 作品名稱 | A Neural Network Application for Reliability Modeling and Condition-Based Predictive Maintenance |
| 作品名稱（其他語言） | |
| 著者 | Lin, Chang-ching; Tseng, Hsien-yu |
| 單位 | 淡江大學經營決策學系 |
| 出版者 | |
| 著錄名稱、卷期、頁數 | The International Journal of Advanced Manufacturing Technology 25(1-2), pp.174-179 |
| 摘要 | Traditionally, decisions on the use of machinery are based on previous experience, historical data and common sense. However, carrying out an effective predictive maintenance plan, information about current machine conditions must be made known to the decision-maker. In this paper, a new method of obtaining maintenance information has been proposed. By integrating traditional reliability modelling techniques with a real-time, online performance estimation model, machine reliability information such as hazard rate and mean time between failures can be calculated. Essentially, this paper presents an innovative method to synthesise low level information (such as vibration signals) with high level information (like reliability statistics) to form a rigorous theoretical base for better machine maintenance. |
| 關鍵字 | Cerebellar model articulation controller;Neural network;Predictive maintenance;Weibull proportional hazards model |
| 語言 | en |
| ISSN | 0268-3768 1433-3015 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/65058 ) |