Feature selection based on Bayesian network for chiller fault diagnosis from the perspective of field applications

Review on Fault Detection and Diagnosis Feature Engineering in Building Heating, Ventilation, Air Conditioning and Refrigeration Systems

“…Some researchers have conducted PACA based FE studies that consider the practical limitations, such as the availability and costs of sensors, as shown in TABLE III. For example, Wang et al [208] presented a field investigation on the sensor measurement conditions of over twenty practical chiller plants. [209] Practical chiller plant of a commercial building…”

Literature Review for Sensor Impact Evaluation and Verification Use Cases - Building Controls and Fault Detection and Diagnosis (FDD)

“…Outlier detection, PCA 25 Zhao et al [211] Chiller Virtual sensor Virtual fouling monitor sensors 26 Li et al [212] Chiller Sensor fault NA 27 Yan et al [213] AHU Sensor fault NA 28 Wang et al [214] VAV terminal Sensor fault NA 29 Yan et al [215] Chiller Feature selection from available sensors Feature selection with back-tracing sequential forward feature selection 30 Sun et al [216] Chiller Sensor data analysis/mining, sensor fault Data fusion 31 Hu et al [217] Chiller Sensor data analysis/mining, sensor fault Sensitivity of chiller sensor fault detection-based on PCA 32 Dey and Dong [218] AHU Sensor fault NA 33 Yang et al [219] AHU Sensor fault NA 34 Padilla and Choiniere [220] AHU Sensor fault NA 35 Kim et al [221] IAQ Sensor fault validation, PCA on sensor Sensor validation 36 Li et al [222] AHU Feature selection from available sensors NA 37 Kim and Braun [223] Chiller Virtual sensor NA 38 Shahnazari et al [224] VAV terminal Sensor fault, sensor data analysis/mining Sensor-fault-tolerant control 39 Wang et al [225] Chiller Feature selection from available sensors NA 40 Li et al [226] Outdoor unit of VRF Additional and built-in/existing sensors, sensor data analysis/mining Data mining using only built-in/existing sensors 41 Fernandez et al [227] AHU Sensor fault NA 42 Karami and Wang [228] Chiller Feature selection from available sensors, sensor fault NA Najafi [229] AHU Additional and built-in/existing sensor Sensor network architectures not necessarily designed solely for diagnostic purposes 44 Dey et al [230] HVAC terminal unit Sensor layout/location Impact of lacking sensor location 45 Kim and Braun [231] Chiller Virtual sensor NA 46 Pourarian et al [232] FCU Sensor fault FDD algorithm adap...…”

Review: Sensor Impact on Building Controls and Automatic Fault Detection and Diagnosis (AFDD)

“…Many studies discussed the sensor selection problem in FDD modeling. Sensor selection is a widely discussed topic in FDD for chillers [43,47,51], variable refrigerant flow systems [48], air handling units [49], and whole HVAC systems [45]. These sensor selection studies focused on selecting the sensor set used for FDD from existing sensors to improve FDD performance rather than installing new sensors.…”