公开(公告)号：US11747776B2

公开(公告)日：2023-09-05

申请号：US17963699

申请日：2022-10-11

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Young M. Lee ,  Sugumar Murugesan ,  ZhongYi Jin ,  Jaume Amores ,  Kelsey Carle Schuster ,  Steven R. Vitullo ,  Henan Wang

IPC: G05B13/04 ,  F24F11/38 ,  F24F11/63 ,  G06N20/00 ,  F24F11/64 ,  G05B13/02 ,  G06N5/04

CPC classification number: G05B13/048 ,  F24F11/38 ,  F24F11/63 ,  F24F11/64 ,  G05B13/0265 ,  G05B13/04 ,  G06N20/00 ,  G05B13/027 ,  G05B13/028 ,  G06N5/04

Abstract: A fault prediction system for building equipment includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive device data for a plurality of devices of the building equipment, the device data indicating performance of the plurality of devices; generate, based on the received device data, a plurality of prediction models comprising at least one of single device prediction models generated for each of the plurality of devices or cluster prediction models generated for device clusters of the plurality of devices; label each of the plurality of prediction models as an accurately predicting model or an inaccurately predicting model based on a performance of each of the plurality of prediction models; and predict a device fault with each of the plurality of prediction models labeled as an accurately predicting model.

公开(公告)号：US20230033206A1

公开(公告)日：2023-02-02

申请号：US17963699

申请日：2022-10-11

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Young M. Lee ,  Sugumar Murugesan ,  ZhongYi Jin ,  Jaume Amores ,  Kelsey Carle Schuster ,  Steven R. Vitullo ,  Henan Wang

IPC: G05B13/04 ,  F24F11/38 ,  F24F11/63 ,  G06N20/00 ,  F24F11/64 ,  G05B13/02

Abstract: A fault prediction system for building equipment includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive device data for a plurality of devices of the building equipment, the device data indicating performance of the plurality of devices; generate, based on the received device data, a plurality of prediction models comprising at least one of single device prediction models generated for each of the plurality of devices or cluster prediction models generated for device clusters of the plurality of devices; label each of the plurality of prediction models as an accurately predicting model or an inaccurately predicting model based on a performance of each of the plurality of prediction models; and predict a device fault with each of the plurality of prediction models labeled as an accurately predicting model.

公开(公告)号：US11474485B2

公开(公告)日：2022-10-18

申请号：US16198456

申请日：2018-11-21

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Young M. Lee ,  Sugumar Murugesan ,  ZhongYi Jin ,  Jaume Amores ,  Kelsey Carle Schuster ,  Steven R. Vitullo ,  Henan Wang

IPC: G05B13/04 ,  F24F11/38 ,  F24F11/63 ,  G06N20/00 ,  F24F11/64 ,  G05B13/02 ,  G06N5/04

Abstract: A chiller fault prediction system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to receive chiller data for a plurality of chillers, the chiller data indicating performance of the plurality of chillers. The one or more processors are configured to generate, based on the received chiller data, a plurality of single chiller prediction models and a plurality of cluster chiller prediction models, the plurality of single chiller prediction models generated for each the plurality of chillers and the plurality of cluster chiller prediction models generated for chiller clusters of the plurality of chillers. The one or more processors are configured to label each of the plurality of single chiller prediction models and the plurality of cluster chiller prediction models as an accurately predicting chiller model or an inaccurately predicting chiller model based on a performance of each of the plurality of single chiller prediction models and a performance of each of the plurality of cluster chiller prediction models. The one or more processors are configured to predict a chiller fault with each of the plurality of single chiller prediction models labeled as the accurately predicting chiller models. The one or more processors are configured to predict a chiller fault for each of a plurality of assigned chillers assigned to one of a plurality of clusters labeled as the accurately predicting chiller model.