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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15215

Title: 應用類神經網路監控和診斷中央空調系統
Air-Conditioning System Diagnosis and Supervisory Based on Neural Network
Authors: 黃裕煒
Contributors: 車輛科技研究所
Keywords: 類神經網路;空調系統;故障偵測;定量模式;感測器
Neural network;Air conditioning system;Fault detection
Date: 1998
Issue Date: 2013-01-07T09:12:21Z
Publisher: 行政院國家科學委員會
Abstract: 由於製造技術和自動監控系統設備的進步,空調系統的機械損壞比例已經大為降低,尤其是主機的監視和控制成效良好。但是某些大型通調系統係由許多複雜的設備組織(例如醫院),不僅發生故障的機會多,而且必須盡快排除。但是由於空調系統的運轉狀況有許多變因,而且某些故障會使的感測器量到錯誤的信號,往往需要藉助人員的經驗才能解決。本研究利用類神經網路來推論某些不確定的因素,以幫助找出可能的故障原因,協助維修人員迅速找出故障。
Many papers work on fault detection in air-conditioning systems have used some from of quantitative model. These quantitative models estimate the states of the system based on the correct operation of the plant. In practice, it is often difficult to obtain adequate representations of plant behavior using quantitations models. This search proposes a fault diagnosis method based on neural netwoks in air-conditioning system. The use of neural networks can take account of fault plant, sensors and experience. It can easily incorporate what expert knowledge is available about their conditioning, systems of fault.
Relation: 國科會計畫, 計畫編號: NSC87-2612-E018-001; 研究期間: 8608-8707
Appears in Collections:[車輛科技研究所] 國科會計畫

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