SYSTEM, METHOD AND ALGORITHM FOR DATA-DRIVEN EQUIPMENT PERFORMANCE MONITORING

摘要

A method for automatically monitoring the performance of equipment (100) includes the step (101) of compiling current operating conditions including at least one current sensor reading and at least one current performance measurement associated with the current conditions (PMc). A historical database including a plurality of stored operating conditions is searched (102), each stored operating condition including at least one stored sensor reading and at least one associated stored performance measure (PM*), wherein at least one similar operating condition is identified in the search using distances between the current operating conditions and the plurality of stored operating conditions. The performance measure associated with the similar operating condition is fit to generate a regression model (103). The regression model is applied to the current operating condition (104) to generate a model estimate for the performance measure for the current operating condition (PMe). A first difference between PMc and said PMe is computed (105). The first difference is compared to a predetermined threshold, wherein a warning is automatically generated if the first difference has a value greater than the predetermined threshold (106).