US 12,169,791 B2
Model development framework for remote monitoring condition-based maintenance
Teems E. Lovett, Glastonbury, CT (US); Murat Yasar, West Hartford, CT (US); Nikola Trcka, West Hartford, CT (US); Peter Liaskas, Norwalk, CT (US); and Kin Gwn Lore, Manchester, CT (US)
Assigned to OTIS ELEVATOR COMPANY, Farmington, CT (US)
Filed by Otis Elevator Company, Farmington, CT (US)
Filed on Mar. 15, 2019, as Appl. No. 16/354,585.
Claims priority of provisional application 62/720,520, filed on Aug. 21, 2018.
Prior Publication US 2020/0065691 A1, Feb. 27, 2020
Int. Cl. G06F 30/20 (2020.01); G06N 5/048 (2023.01); G06N 20/00 (2019.01)
CPC G06N 5/048 (2013.01) [G06F 30/20 (2020.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system for developing a model framework for remote unit monitoring condition-based maintenance, the system comprising:
a processor and a storage medium coupled to the processor;
the processor configured to:
execute one or more models operable to perform operations comprising predicting an unplanned service request;
wherein the one or more models are trained to perform the operations by identifying an actual unplanned service request that has occurred, collecting unplanned service request data limited to a time interval leading up to the actual unplanned service request, wherein the unplanned service request data limited to the time interval leading up to the actual unplanned service request comprises a set of data indicating a pattern of operational symptoms predictive of the unplanned service request, and using the unplanned service request data to train the one or more models to perform the operations;
wherein performing the operations comprise generating a predicted unplanned service request based at least in part on the one or more models; and
transmit an output of the predicted unplanned service request.