公开(公告)号：US20240255940A1

公开(公告)日：2024-08-01

申请号：US18415458

申请日：2024-01-17

Applicant: Cummins Power Generation Inc.

Inventor： Mayura H. Halbe ,  Daniel J. O'Connor ,  Alan C. Anderson ,  Sachin Joshi ,  William Marshall Cover ,  Luke Thomas Jennings ,  Pagalavan Mathari Bakthavatsalam ,  Nidhi Sakhala ,  John Howland ,  Michael T. Hughes ,  David E. Charles

IPC: G05B23/02 ,  F02D41/22

CPC classification number: G05B23/0283 ,  F02D41/222

Abstract: Systems and methods for determining a remaining useful life (RUL) of a component of an engine system are provided. A method includes: receiving component data comprising sensor data corresponding to a component and engine data; pre-processing the component data by removing a first set of sensor data values that correspond to a first set of engine data values of the engine data; aggregating the pre-processed component data by grouping a second set of sensor values of the sensor data; determining a RUL for the component based on a RUL model that correlates at least a portion of the aggregated data to RUL values; adjusting the RUL based on at least one of detecting a service event or determining that one or more sensor data values of the sensor data are outside a predetermined range of values; and providing the RUL to a user device.

公开(公告)号：US20240303611A1

公开(公告)日：2024-09-12

申请号：US18595977

申请日：2024-03-05

Applicant: Cummins Power Generation Inc.

Inventor： Mayura Halbe ,  Daniel J. O'Connor ,  Alan C. Anderson ,  Sachin Joshi ,  Pagalavan Mathari Bakthavatsalam ,  Renae Christianson ,  Adam Zimmerman ,  William Marshall Cover

IPC: G06Q10/20

CPC classification number: G06Q10/20

Abstract: A method includes: receiving system data corresponding to an engine system. The system data includes a plurality of remaining useful life (RUL) values with each RUL value associated with a component of the engine system. The method further includes: comparing a first RUL value to a service interval threshold; generating a near-term service recommendation including a first list of components that correspond to each RUL value that are less than or equal to the service interval threshold; generating an extended term service recommendation including a second list of components and a downtime prediction; generating a coordinated service recommendation by dynamically populating one or more fields of the coordinated service recommendation based on the near-term service recommendation and the extended term service recommendation; and providing the combined service recommendation to a user device.