Cost-optimized model-based extension of system life

摘要

A method includes recording a current performance signature for first and second components in a system, recording a calibrated baseline performance signature for the components, and processing the performance signatures through an aging model to determine a future performance signature for each component. The future performance signatures are processed through a system function model to determine the state of function of the system for each possible repair case. A cost-optimal repair case is then determined from among the possible repair cases, and recorded in memory. An apparatus includes first and second components of a system, and a host machine configured for processing the current and baseline performance signatures through the aging and system function models as noted above. The cost-optimal repair case is determined from among all possible repair cases, and then recorded in memory. An example system may be a cranking system with a starter motor and battery.

主权项

1. A method comprising:
receiving, from a plurality of sensors via a host machine in communication with a system having a plurality n of components, a current performance signature for the plurality n of components, wherein the plurality n includes a first and a second component, and wherein the host machine includes a processor and memory on which is recorded an aging model and a system function model; recording, via the host machine, a calibrated baseline performance signature for the first and the second components; processing the current and calibrated baseline performance signatures through the aging model to determine a future performance signature for each of the first and second components, including comparing the current and calibrated baseline performance signatures to a recorded trace of past performance values for additional first and second components in a prior-fielded system over time; processing the future performance signatures for the first and second components through the system function model to determine a numeric state of function (SOF) of the system for each of 2n−1 possible repair cases, wherein the numeric SOF is 0 and 1 for a respective degraded and calibrated new system, such that the SOF degrades from 1 to 0 over time, and each of the 2n−1 possible repair cases describes a possible repair combination of the plurality of n components; and executing a control action when any of the numeric SOFs of the system is 0, including:
calculating a repair cost and remaining useful life (RUL) for each of the 2n−1 possible repair cases via the host machine;calculating a ratio of the calculated repair cost and the calculated RUL for each of the 2n−1 possible repair cases via the host machine;calculating a cost-optimal repair case as the lowest of the calculated ratios from among the 2n−1 possible repair cases via the host machine; andperforming the calculated cost-optimal repair case by replacing or repairing at least one of the plurality n of components.