Development and assessment of fault detection and diagnosis methods for HVAC&R in commercial supermarkets
หัวหน้าโครงการ
:
เด่นชัย วรเดชจำเริญ
ทีมวิจัย
:
เด่นชัย วรเดชจำเริญ
หัวหน้าโครงการ
ธนัญชัย ลีภักดิ์ปรีดา
นักวิจัยที่ปรึกษา
วันที่เริ่มโครงการ
:
2 พ.ค. 2559
วัตถุประสงค์
:
This research fund is mainly proposed to develop an applied research methodology for smart preventative maintenances and the enhancement of machine productivity by diagnosing faults inherently occurring in air-conditioning and refrigeration systems in Thailand commercial supermarkets. The objectives of this current project are:
2.1) to collect and evaluate significant information that includes: 1) Studying typical faults occurring in both HVAC (air-conditioning units) and refrigeration systems (centralized refrigeration system) and system operation characteristics; these characteristics include: a) the typical equipment and systems in a commercial supermarket (hypermarket chain in Thailand), including the sequence of operations that describe how the components and systems are controlled and interacted; 2) studying and measuring interaction characteristics between HVAC and refrigeration systems because refrigeration systems are typically operated based on the environment provided by HVAC systems; and 3) measuring and verifying Static and dynamic operation data based on fault-free and faulty conditions of HVAC&R from two Thailand supermarkets.
2.2) to develop real-time monitoring systems for measuring: 1) indoor interactions between air-conditioning and refrigeration systems; 2) related system operations of the air-conditioning system; and 3) more thermodynamic parameters beyond existing parameters of the on-board controller in centralized refrigeration system.
2.3) to evaluate improve and enhance simplified transient model of supermarket system from previous projects for generating fault-free data instead of a laboratory
2.4) to review and evaluate existing fault detection and diagnosis (FDD) approaches from other HVAC&R applications or related process chemical control
2.5) to select potential FDD approaches such as decoupling based feature, simple linear regression (SLR), multiple linear regression (MLR) and principal component analysis (PCA) for diagnosing faults in the supermarket system (centralized refrigeration system and supply air-conditioning units with indoor condition interaction), excluded lighting systems and self-contained refrigeration units.
