『喘振』為離心式冰水主機的頭號殺手,會使主機產生巨大的震動,導致壓縮機內部機械元件磨損而故障。針對離心式冰水主機發生喘振,採取預知保養的事前預防管理,是有效避免主機產生喘振、延長壓縮機相關機械元件使用年限,減少耗能及降低運轉成本的最佳策略。 本文即針對市用的離心式冰水主機『喘振』做「預知保養」研究,利用實際的經驗知識與系統推理來進行喘振率之探討。企求對喘振率降低之要求,軸承損壞程度的預警做追蹤分析。使得對於主機效率的控管,可利用冰水主機自我診斷分析,檢測追蹤,讓系統可以保持持續穩定運轉。從實際案例『喘振』得知在「預知保養維護管理策略」研究中,可應用離心式冰水主機相關物理量: 冷凍油溫度、軸承溫度、冷凝器進出水溫度與冷凝飽和溫度等之間的關係,來判讀故障;同時針對長期運轉中所發生故障情況,做有系統的探討與分析。最終希望藉由成熟的經驗法則與故障分析,使得空調從業人員對該型式主機有故障判斷的參考依據,提供主機何時會發生故障的可靠資訊,確效的進行預期性保養,以達到提昇系統持續穩定運轉的目標。
The first killer is the surging of centrifugal chillers, can make a huge vibration, and causing critical parts damage and out of order. In cope with the surge of Centrifugal chiller, the best strategy to get avoid surge occurred 、extending the life time of critical parts、reducing energy consumption、and running operation cost is choosing the Predictive Maintenance preventive management in advance。 This paper have made a Predictive Maintenance study by means of the real experience knowledge and system analysis that focused on the surge of the market brand centrifugal chiller in order to make a follow analysis about early alert for the requirement of lowing surge rate and Bearing wear out。So that the chiller can apply self-diagnosis and detection tracking to keep a continue robust running as regards of controlling the efficiency of host chiller。From some practical surge case know that we can judge the chiller breakdown by the relationship of the adopted relative physical parameter of the centrifugal chiller like that : frozen oil temperature、bearing temperature、condenser inlet and outlet water temperature、 and refrigerant saturation temperature in condenser; in the mean time, can make some system explore and analysis for breakdown from long term operation。Finally,we hope people in the air conditioning field can have a available reference for judging breakdown of centrifugal chiller by means of the developed experience rule and breakdown analysis refer to the mentioned chiller。The report also provide the reliable information about when the chiller will happen breakdown,validated to carry out predictive maintenance so as to reach the target about upgrade the system sustained and stable operation。