公开(公告)号：US09778639B2

公开(公告)日：2017-10-03

申请号：US14579736

申请日：2014-12-22

Applicant: Johnson Controls Technology Company

Inventor： Andrew J. Boettcher ,  Steven R. Vitullo ,  Kirk H. Drees ,  Michael J. Wenzel

IPC: G05B19/042 ,  G05B23/02

CPC classification number: G05B19/042 ,  G05B23/024 ,  G05B2219/2642

Abstract: An operating data aggregator module collects a first set of operating data and a second set of operating data for building equipment. A model generator module generates a first set of model coefficients and a second set of model coefficients for a predictive model for the building equipment using the first set of operating data and the second set of operating data, respectively. A test statistic module generates a test statistic based on a difference between the first set of model coefficients and the second set of model coefficients. A critical value module calculates critical value for the test statistic. A hypothesis testing module compares the test statistic with the critical value using a statistical hypothesis test to determine whether the predictive model has changed. In response to a determination that the predictive model has changed, a fault indication may be generated and/or the predictive model may be adaptively updated.

公开(公告)号：US20170276571A1

公开(公告)日：2017-09-28

申请号：US15080441

申请日：2016-03-24

Applicant: Johnson Controls Technology Company

Inventor： Steven R. Vitullo ,  Andrew J. Boettcher

IPC: G01M99/00

CPC classification number: G01M99/005 ,  G01M99/00 ,  G05B23/0248 ,  G06Q10/06

Abstract: A system for detecting faults in building equipment includes an integration fault detector, a kernel density fault detector, and a fault detector selector. The integration fault detector is configured to detect faults in the building equipment by analyzing time series data using an integration fault detection technique. The kernel density fault detector is configured to detect faults in the building equipment by analyzing the time series data using a kernel density estimation fault detection technique. The fault detector selector is configured to select the integration fault detector or the kernel density fault detector for use in detecting faults in the building equipment based on an attribute of the time series data.