Prognostics and health management method for aging systems
First Claim
1. A prognostic and health management method for monitoring an aging system, including a component of said system, said method useful for determining whether or not detected anomalies are due to natural aging or other aging processes, said method based on a combination of a conventional data-driven method and a moving window data-driven method, including the steps of:
- detecting anomalies of said system, or component of said system based on monitored parameters of the system using both the conventional data-driven method and the moving window data-driven method; and
identifying whether said detected anomalies arc due to natural aging or other aging processes or causes wherein;
if both methods do not detect any anomalies, the system or component is healthy;
if the conventional data-driven method detects anomalies but the moving window method does not, the detected anomalies are due to natural aging;
if both methods detect anomalies, the detected anomalies are caused by other aging processes besides natural aging;
wherein said detecting and identifying steps are performed with the aid of a computer.
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Abstract
The present invention provides a novel prognostic and health management method for natural aging systems. This prognostic and health management method can detect anomalies in a system in advance, and can determine whether the detected anomalies are due to natural aging or other aging processes. In this prognostic method, a moving window method for improving the performance of the conventional data-driven prognostic methods is described. This prognostic and health management method combines with the detections by the data-driven prognostic method based on the conventional training and moving window methods to determine whether the detected anomalies are due to natural aging or other aging processes and in so doing can reduce the number of false alarms; reduce cost of a system by decreasing the unnecessary maintenance, downtime, and inventory; can extend the life of systems; and can assist in the design and qualification of future systems to improve their reliability.
14 Citations
12 Claims
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1. A prognostic and health management method for monitoring an aging system, including a component of said system, said method useful for determining whether or not detected anomalies are due to natural aging or other aging processes, said method based on a combination of a conventional data-driven method and a moving window data-driven method, including the steps of:
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detecting anomalies of said system, or component of said system based on monitored parameters of the system using both the conventional data-driven method and the moving window data-driven method; and identifying whether said detected anomalies arc due to natural aging or other aging processes or causes wherein; if both methods do not detect any anomalies, the system or component is healthy; if the conventional data-driven method detects anomalies but the moving window method does not, the detected anomalies are due to natural aging; if both methods detect anomalies, the detected anomalies are caused by other aging processes besides natural aging; wherein said detecting and identifying steps are performed with the aid of a computer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification