Chiller Fault Prediction Using Recurrent Neural Networking Method
碩士 === 國立交通大學 === 機械工程系所 === 106 === This paper uses the deep learning algorithm to classify the fault mode of the chiller and predicts it's faulty level. The data used in this paper are from ASHRAE experimental program[3, 4]. This paper uses a deep learning model, recursive neural network(RNN)...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/b9ebj3 |