{'fraction_non_alphanumeric': 0.01044932079414838, 'fraction_numerical': 0.0, 'mean_word_length': 5.517006802721088, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Health Monitoring and Continuous Commissioning of Centrifugal Chiller Systems

This paper presents strategies for detecting and diagnosing the chiller component faults and the sensor faults involved in chiller conditioning monitoring and control. The two strategies are used in series. One strategy diagnoses and validates the sensor faults. After the sensor faults are validated, the other strategy monitors the health condition and diagnoses the faults of chiller components. The health monitoring and diagnosis of the sensors are conducted using PCA (Principle Component Analysis) method. The chiller component condition monitoring and diagnosis is conducted based on the reference models of six performance indexes and an online threshold generator updating the fault detection thresholds following the change of working conditions. The paper also presents the validation of the two strategies using the field data of the BMS in a large office building.