本研究的目标如下:a）提出使用稳态数据对FDD方法和工具进行评估和分级的一般方法，包括正确检测和诊断故障的能力、易用性、训练数据量、鲁棒性、敏感性、转化为可实施工具的实用性等问题；b） 确定四种不同的制冷机FDD方法，并根据RP1043（Comstock和Braun，1999）中从实验室制冷机收集的稳态制冷机性能数据（无故障和故障）对其进行评估，目的是确定“最佳”方法，用于后续现场评估，作为第三阶段后续研究的一部分。该评估应基于上述开发的一般方法；c） 明确研究传感器精度对FDD方法的影响- 评估现有传感器的准确性和位置，并在适当的情况下提出额外的建议；d） 使用作为RP1043一部分开发的动态冷水机模型，模拟冷水机在多种不同操作条件、故障类型和严重程度下的性能，以评估（i）是否可以通过任何一种FDD方法检测到多个同时发生的故障，以及（ii）与不同边界条件下的瞬态行为相关的冷却器动态是否可用于增强稳态方法的FDD能力。单位:I-P

The objectives of this research are as follows:a) Propose a general methodology for evaluating and grading FDD methods and tools using steady state data which would include issues such as ability to correctly detect and diagnose faults, ease of use, amount of training data, robustness, sensitivity, practicality in terms of conversion to a tool which can be implemented;b) Identify four different chiller FDD methods, and evaluate them against steady-state chiller performance data (both fault-free and faulty) gathered from a laboratory chiller as part of RP1043 (Comstock and Braun, 1999) with the intention of identifying the “best” one for subsequent field evaluation as part of the Phase III follow-up research. This evaluation should be based on the general methodology developed above;c) Explicitly study the impact of sensor accuracy on FDD method- assess accuracy and placement of exiting sensors, and propose additional ones if appropriate;d) Use the dynamic chiller model developed as part of RP1043 and simulate chiller performance under a number of different operating conditions, fault types and severity levels in order to evaluate (i) whether multiple simultaneous faults could be detected by any one of the FDD methods, and (ii) whether the chiller dynamics associated with its transient behavior under varying boundary conditions could be used to enhance the FDD capability of the steady-state methods.Units: I-P