Honeywell international inc. (20240412079). SELECTION OF TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODELS
SELECTION OF TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODELS
Organization Name
Inventor(s)
Viraj Srivastava of Bengaluru (IN)
Chinmaya Kar of Al Jubail (AE)
SELECTION OF TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODELS
This abstract first appeared for US patent application 20240412079 titled 'SELECTION OF TRAINING DATA FOR ARTIFICIAL INTELLIGENCE MODELS
Original Abstract Submitted
examples techniques to select training data to train artificial intelligence models to monitor industrial processes are described. from historical data relating to an industrial process, a range of values exhibited by operating parameters of the industrial process under normal operation is estimated. one or more steady time windows are identified for the operating parameters. a steady time window of an operating parameter is a duration of time where values of the operating parameter are within the estimated range of values. based on the identified steady time windows, a composite steady time window is determined. the composite steady time window is a duration of time where a maximum of the identified steady time windows overlap. the data corresponding to the composite steady time window is provided as training data to the ai model.