US 11,703,815 B2
Building control system with predictive maintenance based on time series analysis
Ovijeet Sircar, West Bengal (IN); Tushar S. Joshi, Maharashtra (IN); Anil Tribhuwan, Maharashtra (IN); Sourav Bandyopadhyay, West Bengal (IN); and Sikim Chakraborty, West Bengal (IN)
Assigned to JOHNSON CONTROLS TYCO IP HOLDINGS LLP, Milwaukee, WI (US)
Filed by Johnson Controls Tyco IP Holdings LLP, Milwaukee, WI (US)
Filed on Jul. 12, 2018, as Appl. No. 16/34,057.
Prior Publication US 2020/0019129 A1, Jan. 16, 2020
Int. Cl. G05B 13/04 (2006.01)
CPC G05B 13/048 (2013.01) 18 Claims
OG exemplary drawing
 
1. A controller for an energy plant, the controller comprising:
a data collector coupled to a device of the energy plant, the data collector configured to:
obtain a time series of a performance variable associated with the device;
obtain an auto-correlation function data of the device based on the time series of the performance variable associated with the device;
obtain a partial auto-correlation function data of the device based on at least one of the time series of the performance variable or the auto-correlation function data, the partial auto-correlation function data excluding a contribution of a portion of the samples considered in the auto-correlation function;
a model generator coupled to the data collector, the model generator configured to generate an electronic model of the device using both the auto-correlation function data and the partial auto-correlation function data to select parameters of the electronic model and modify the parameters of the electronic model until the parameters are statistically significant and a slope of the auto-correlation function data or the partial auto-correlation function data satisfies a threshold criterion; and
a predictor coupled to the data collector, the predictor configured to predict a first time, at which a future event of the device is predicted to occur, based on the electronic model.