Fault diagnosis on CVD equipment via Neural Network Approach
碩士 === 國立成功大學 === 工業與資訊管理學系專班 === 95 === The integrated circuits (ICs) industry is the industry with technology and capital intensively. Thus how to make the equipment utilization higher and to compensate the equipment depreciation cost, to reduce product cost, and to create a company’s competitive...
Main Authors: | Chien-Hsun Lai, 賴建勳 |
---|---|
Other Authors: | Tai-Yue Wang |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/78959151770731764176 |
Similar Items
-
Applying Artificial Neural Networks and Fuzzy Clustering Method for Fault Detection of CVD Equipment
by: Chia-Hsien Ko, et al.
Published: (2010) -
Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks
by: Fei-Wei Qin, et al.
Published: (2017-06-01) -
Health Evaluation and Fault Diagnosis of Medical Imaging Equipment Based on Neural Network Algorithm
by: Zhenwei Zhao, et al.
Published: (2021-01-01) -
An artificial neural network approach to transformer fault diagnosis
by: Zhang, Yuwen
Published: (2014) -
Applications of Cerebellar Model Articulation Controller Neural Network on Fault Diagnosis of Mechanical and Electrical Equipments
by: Yi-Shin Lin, et al.
Published: (2007)