US 11,874,654 B2
System, apparatus and method of condition based management of one or more electro-mechanical systems
P. V. Sudev Nair, Bangalore (IN)
Assigned to Siemens Aktiengesellschaft, Munich (DE)
Appl. No. 17/619,735
Filed by Siemens Aktiengesellschaft, Munich (DE)
PCT Filed Jun. 26, 2020, PCT No. PCT/EP2020/068135
§ 371(c)(1), (2) Date Dec. 16, 2021,
PCT Pub. No. WO2020/260657, PCT Pub. Date Dec. 30, 2020.
Claims priority of application No. 19182938 (EP), filed on Jun. 27, 2019.
Prior Publication US 2022/0299988 A1, Sep. 22, 2022
Int. Cl. G05B 23/02 (2006.01); B60W 30/184 (2012.01)
CPC G05B 23/0283 (2013.01) [B60W 30/184 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A computer implemented method of condition-based management of an electro-mechanical system, the method comprising:
generating a stress profile for the electro-mechanical system based on operating or simulating operation of the electro-mechanical system in accordance with a load profile, wherein the stress profile is indicative of a distribution of stress on the electro-mechanical system during operation or during simulation of the operation, wherein the distribution of stress is a distribution of electrical stress, mechanical stress, and process stress applied to the electro-mechanical system, and wherein the load profile is indicative of operation duration and load capacity of the electro-mechanical system;
receiving condition data associated with the electro-mechanical system in operation from a plurality of sensing units;
generating an accelerated degradation model using a digital twin of the electro-mechanical system when the electro-mechanical system is operated above a rated stress defined for the electro-mechanical system, wherein the digital twin comprises a cumulative damage model of the electro-mechanical system, wherein the cumulative damage model is formed by computing a life probability distribution for the electro-mechanical system and determining a time-damage accumulation of the electro-mechanical system based on historical condition data of the electro-mechanical system;
predicting a failure instance of the electro-mechanical system using the accelerated degradation model based on at least one of the stress profile and the condition data; and
comparing the predicted failure instance with an actual failure instance upon failure of the electro-mechanical system to tune the accelerated degradation model.