Systems and methods for health monitoring of complex systems
First Claim
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1. A method to evaluate a condition of an aircraft engine precooler, comprising:
- receiving, in a processor-based health management system, a plurality of raw signals indicative of observation states of a plurality of operating variables associated with the aircraft engine precooler;
smoothing the plurality of raw signals collected during a flight to obtain a per-flight diagnosis;
performing, in the processor-based health management system, a joint probability analysis of the plurality of signals using a diagnostic model to generate a predictive failure prediction for the aircraft engine precooler; and
reporting the predictive failure prediction to an aircraft health management system, wherein performing, in the processor-based health management system, a joint probability analysis of the plurality of signals using a diagnostic model to generate a predictive failure prediction for the aircraft engine precooler comprises;
identifying a plurality of predictor nodes in a predictive failure model; and
evaluating a predictive probability of failure based on the plurality of predictor nodes.
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Abstract
Systems and methods for health monitoring of complex systems are disclosed. In one embodiment, a method includes receiving a plurality of signals indicative of observation states of plurality of operating variables, performing a combined probability analysis of the plurality of signals using a diagnostic model of a monitored system to provide a health prognosis of the monitored system, and providing an indication of the health prognosis of the monitored system. In some embodiments, the monitored system may be an onboard system of an aircraft.
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Citations
16 Claims
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1. A method to evaluate a condition of an aircraft engine precooler, comprising:
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receiving, in a processor-based health management system, a plurality of raw signals indicative of observation states of a plurality of operating variables associated with the aircraft engine precooler;
smoothing the plurality of raw signals collected during a flight to obtain a per-flight diagnosis;performing, in the processor-based health management system, a joint probability analysis of the plurality of signals using a diagnostic model to generate a predictive failure prediction for the aircraft engine precooler; and reporting the predictive failure prediction to an aircraft health management system, wherein performing, in the processor-based health management system, a joint probability analysis of the plurality of signals using a diagnostic model to generate a predictive failure prediction for the aircraft engine precooler comprises; identifying a plurality of predictor nodes in a predictive failure model; and evaluating a predictive probability of failure based on the plurality of predictor nodes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A processor-based system to evaluate a condition of an aircraft engine precooler, comprising:
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an input component configured to receive a plurality of raw signals associated with the aircraft engine precooler indicative of observation states of a plurality of operating variables; and an analysis component coupled to the input component and configured to;
smooth the plurality of raw signals collected during a flight to obtain a per-flight diagnosis;perform a joint probability analysis of the plurality of signals using a diagnostic model to generate a predictive failure prediction for the aircraft engine precooler; and report the predictive failure prediction to an aircraft health management system; identify a plurality of predictor nodes in a predictive failure model; and evaluate a predictive probability of failure based on the plurality of predictor nodes. - View Dependent Claims (13, 14, 15, 16)
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Specification