| CPC F25B 49/02 (2013.01) [F25B 5/02 (2013.01); F25B 31/00 (2013.01); F25B 49/022 (2013.01); F25B 49/027 (2013.01); F25B 41/385 (2021.01); F25B 2400/075 (2013.01); F25B 2400/22 (2013.01); F25B 2600/0251 (2013.01); F25B 2600/111 (2013.01); F25B 2700/15 (2013.01); F25B 2700/151 (2013.01); F25B 2700/171 (2013.01); F25B 2700/172 (2013.01); F25B 2700/193 (2013.01); F25B 2700/1931 (2013.01); F25B 2700/1933 (2013.01); F25B 2700/21152 (2013.01)] | 8 Claims |
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1. A system comprising:
a controller for a refrigeration or HVAC system having a compressor rack with at least one compressor,
wherein the controller is in communication with at least one sensor that monitors operational data of a compressor in the compressor rack,
wherein the controller is configured to:
receive the operational data of the compressor from the at least one sensor;
generate a benchmark polynomial and a benchmark hull for the compressor based on manufacturer rated performance data for the compressor;
determine at least one statistically significant variable and at least one statistically insignificant variable from the operational data of the compressor received from the at least one sensor, the statistically significant variable being affecting a rated performance of the compressor and the statistically insignificant variable not affecting the rated performance of the compressor;
optimize the benchmark polynomial by eliminating the at least one statistically insignificant variable from the benchmark polynomial;
perform a regression analysis on the operational data of the compressor received from the at least one sensor during operation of the compressor using the optimized benchmark polynomial and the benchmark hull to assess compressor performance by determining whether the operational data is within at least one standard deviation of the benchmark polynomial and whether the operational data is outside of the benchmark hull;
generate a warning regarding the compressor performance based on the regression analysis in response to determining at least one of (i) the operational data is outside of at least one standard deviation of the benchmark polynomial or (ii) the operational data is outside of the benchmark hull; and
communicate the warning over a network to a communication device of a user.
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