-
Patent Agency Ranking
公开(公告)号：US12282883B2
公开(公告)日：2025-04-22
申请号：US16725644
申请日：2019-12-23
Applicant: Johnson Controls Technology Company
Inventor： Jaume Amores , Young M. Lee , Sugumar Murugesan , Steven R. Vitullo
Abstract: A method of generating a fault determination in a building management system (BMS), the method including receiving signal data, generating, using a number of fault detection models, a number of fault indications based on the signal data, generating, using a weighting function, based on the number of fault indications, a fault score, comparing the fault score to a fault value, and determining, based on the comparison, an existence of a fault.
-
2.发明申请公开(公告)号：US20190385070A1
公开(公告)日：2019-12-19
申请号：US16198456
申请日：2018-11-21
Applicant: Johnson Controls Technology Company
Inventor： Young M. Lee , Sugumar Murugesan , ZhongYi Jin , Jaume Amores , Kelsey Carle Schuster , Steven R. Vitullo , Henan Wang
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.
-
3.发明申请公开(公告)号：US20190383510A1
公开(公告)日：2019-12-19
申请号：US16198377
申请日：2018-11-21
Applicant: Johnson Controls Technology Company
Inventor： Sugumar Murugesan , Young M. Lee , Zhong Yi Jin , Jaume Amores
Abstract: A chiller threshold management 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 determine whether chiller fault data exists in chiller data used to generate a plurality of chiller prediction models. The one or more processors are further configured to generate a first threshold evaluation value for each of the plurality of chiller prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second threshold evaluation value for each of the chiller prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data. The one or more processors are configured to select a first threshold for each of the plurality of chiller prediction models based on the first threshold evaluation values in response to the determination that chiller fault data exists in the chiller data, and select a second threshold for each of the plurality of chiller prediction models based on the second threshold evaluation values in response to the determination that chiller fault data does not exist in the chiller data.
-
公开(公告)号：US20210191378A1
公开(公告)日：2021-06-24
申请号：US16725644
申请日：2019-12-23
Applicant: Johnson Controls Technology Company
Inventor： Jaume Amores , Young M. Lee , Sugumar Murugesan , Steven R. Vitullo
Abstract: A method of generating a fault determination in a building management system (BMS), the method including receiving signal data, generating, using a number of fault detection models, a number of fault indications based on the signal data, generating, using a weighting function, based on the number of fault indications, a fault score, comparing the fault score to a fault value, and determining, based on the comparison, an existence of a fault.
-
公开(公告)号：US20190384239A1
公开(公告)日：2019-12-19
申请号：US16198416
申请日：2018-11-21
Applicant: Johnson Controls Technology Company
Inventor： Sugumar Murugesan , Young M. Lee , ZhongYi Jin , Jaume Amores
Abstract: A model management 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 determine whether chiller fault data exists in chiller data used to generate a plurality of chiller shutdown prediction models. The one or more processors are further configured to generate a first performance evaluation value for each of the plurality of chiller shutdown prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second performance evaluation value for each of the plurality of chiller shutdown prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data. The one or more processors are configured to select one of the plurality of chiller shutdown prediction models based on the first performance evaluation in response to the determination that chiller fault data exists in the chiller data, and select one of the plurality of chiller shutdown prediction models based on the second performance evaluation in response to the determination that chiller fault data does not exist in the chiller data.
-
-
-
-
Search Results
5
records
(took 0.024 seconds)
