System and method for detecting and/or diagnosing faults in multi-variable systems

摘要

Abstract A method for detecting faulty operation of a multi-variable system is described. The method includes receiving operational data from a plurality of components of the multi variable system and processing the operational data in accordance with a plurality of 5 dynamic machine learning fault detection models to generate a plurality of fault detection results. Each fault detection model uses a plurality of variables to model one or more components of the multi-variable system and is adapted to detect normal or faulty operation of an associated component or set of components of the multi-variable system. The plurality of fault detection results are output. 102 1/13 116 101 heating t 128 108 Electric heating Pump FValve Heat system system - exchange chilling 106 Fanp12 122 system Sensor 114 system12 Computer 126 Fgr system Fgr 202 204 206 Processing Volatile Non-volatile unit memory memory 2081/O interfaces 210 Us pt Display(s) Speaker(s) Pr~) Dies 212 214 216 218 220 Communications 222 _Cinterface(s) Figure 2