Abstract: An apparatus for detecting faults of components monitored by a building management system (BMS), including an automatic fault detection (AFD) element that monitors, in real time, data samples generated by the BMS indicating operative states of the components, and that employs the data samples to determine if one or more of the components are faulty. The AFD element includes a run time modeling element and a virtual datapoint creating element. The run time modeling element employs the data samples as inputs to execute one or more fault algorithms retrieved from a system configuration model, and generates outputs to the one or more fault algorithms that indicate if the one or more of the components are faulty. The virtual datapoint creating element estimates one or more synthesized datapoints that may be required by the one or more fault algorithms during execution by the run time modeling element.

Abstract: An apparatus for detecting component faults monitored by a building management system (BMS), including an automatic fault detection (AFD) element, coupled to the BMS, that monitors samples generated by the BMS indicating operative states of the components, and that employs the data samples to determine if one or more of the components are faulty. The AFD element includes a run time modeling element and a fault detection algorithm element. The modeling element employs the samples as inputs to execute one or more fault algorithms retrieved from a system model, and generates outputs that indicate if the one or more of the components are faulty. The algorithm element is coupled to the system model, and employs normalized/standardized datapoints representing the samples to select the one or more fault algorithms for storage in the system model, where the one or more fault algorithms are selected from a standard fault algorithm data base.

Abstract: An apparatus for detecting faults of components monitored by a building management system (BMS), including an automatic fault detection (AFD) element that monitors data samples generated by the BMS indicating operative states of the components, and that determines if components are faulty. The AFD element includes a run time modeling element and a fault detection algorithm element. The run time modeling element employs the data samples and synthesized datapoints as inputs to execute fault algorithms retrieved from a system model, and generates outputs that indicate if the components are faulty, where employment of the synthesized datapoints increases fault coverage, resulting in a reduction of false alarms. The fault detection algorithm element employs normalized and standardized datapoints representing the data samples and the synthesized datapoints to automatically select the fault algorithms for storage in the system model, where the fault algorithms are selected from a standard fault algorithm data base.

Abstract: An apparatus for detecting faults of components monitored by a building management system (BMS), including an automatic fault detection (AFD) element that is coupled to the BMS, that monitors, in real time, data samples generated by the BMS indicating operative states of the components, and employs the data samples to determine if one or more of the components are faulty. The AFD element includes a run time modeling element and a data normalizing element. The run time modeling element employs the data samples as inputs to execute one or more fault algorithms retrieved from a system configuration model, and generates outputs to the one or more fault algorithms that indicate if the one or more of the components are faulty. The data normalizing element generates and stores for use by the run time modeling element, equations used to normalize the data samples, along with corresponding properties of the data samples.