Method of maintaining components subject to fatigue failure

• US 6,226,597 B1
• Filed: 07/16/1998
• Issued: 05/01/2001
• Est. Priority Date: 11/27/1996
• Status: Expired due to Term

• Current Assignee: Hamilton Sundstrand Corporation (Raytheon Technologies Corporation d/b/a RTX)
• Original Assignee: Hamilton Sundstrand Corporation (Raytheon Technologies Corporation d/b/a RTX)
• Inventors: Hao, Beilene, Elgin, Richard L., Eastman, Donald G.
• Primary Examiner(s): ASSOUAD, PATRICK J
• Application Number:
  US09/101,823
• Time in Patent Office: 1,020 Days
• Field of Search: 702/34, 702/83, 702/84, 703/7, 703/6, 703/13, 703/18
• US Class Current: 702/34
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance

Abstract

A method is provided for maintaining components subject to fatigue failure during in service use. The method uses statistical distributions (10) in a simulation of in service use (16) of a fleet of components to predict the failure rate (12) of the fleet over a fixed time increment (14, 26) for an assumed inspection program. These predictions are used to determine an operating plan (20), including an inspection program, that will maintain an acceptable failure rate by detecting components with fatigue indications and removing the components prior to failure (22). The inspection program provides actual fatigue data resulting from in service use (18). As the inspection data base grows, the simulation is revised (24, 48) to incorporate the data. The predicted failure rates and the operating plan (20) are then updated based on the revised simulation.

Claims

1. A method of maintaining components subject to fatigue failure during in service use, the method comprising the steps of:

a) determining a probabilistic distribution of a fatigue indication occurrence and a probabilistic distribution of a fatigue failure life for a given component that is subject to fatigue failure from actual in service use;

b) setting an acceptable in service failure rate for the given component;

c) forecasting each given components that will be in service during a first time increment;

d) simulating in service use and inspection of the given components over the first time increment to determine an acceptable operating plan for the given components based on

1) the probabilistic distributions of the fatigue indication occurrence and fatigue failure life,

2) a probability of detecting a detectible fatigue indication during inspection of any one of the given components,

3) the forecasted components that will be in service during the first time increment, and

4) the acceptable in service failure rate;

e) placing a plurality of the given component in service;

f) inspecting the given components that are in service according to the operating plan to

1) collect fatigue data produced by the in service usage of the given components, and

2) if a fatigue indication is detected in one of the given components during inspection, removing the one given component from service to prevent an in service failure;

g) determining revised probabilistic distributions of the fatigue indication occurrence and the fatigue failure life for the given component based on the fatigue failure data collected during inspection;

h) forecasting each of the given components that will be in service during a subsequent time increment;

i) re-simulating in service usage and inspection of the given components over the subsequent time period to determine a revised acceptable operating plan for the given components based on

1) the revised probabilistic distributions of the fatigue indication occurrence and fatigue failure life,

2) a probability of detecting a detectible fatigue indication during inspection of any one of the given components,

3) the forecasted components that will be in service during the subsequent time increment, and

4) the acceptable in service failure rate; and

j) inspecting the given components that are in service according to the revised operating plan to

1) collect additional fatigue failure data produced by the in service usage of the given components, and

2) if a fatigue indication is detected in one of the given components during inspection, removing the one given component from service to prevent an in service failure.

2. The method of claim 1 further comprising the step of repeating steps g) through j) until step i) indicates that revision of the inspection program is no longer required to achieve the acceptable in service failure rate.

3. The method of claim 1 wherein the operating plan comprises an inspection program, guidelines for in service use of the given components, and at least one of targeted removal, replacement, and repair of the given components.

5. The method of claim 1 further comprising the step of repeating steps g) through j) until step i) indicates that revision of the inspection program is no longer required to achieve the acceptable in service failure rate.

4. A method of maintaining components subject to fatigue failure during in service use, the method comprising the steps of:

a) determining a probabilistic distribution of a fatigue indication occurrence and a probabilistic distribution of a fatigue failure life for a given component that is subject to fatigue failure from actual in service use;

b) setting an acceptable in service failure rate for the given component;

c) forecasting each given component that will be in service during a first time increment;

d) simulating in service use and inspection of the given components over the first time increment to determine an acceptable inspection program for the components based on

1) the probabilistic distributions of the fatigue indication occurrence and fatigue failure life,

2) a probability of detecting a detectible fatigue indication during inspection of any one of the given components,

3) the forecasted components that will be in service during the first time increment, and

4) the acceptable in service failure rate;

e) placing a plurality of the given components in service;

f) inspecting the given components that are in service according to the inspection program to

1) collect fatigue data produced by the in service usage of the given components, and

2) if a fatigue indication is detected in one of the given components during inspection, removing the one given component from service to prevent an in service failure;

g) determining revised probabilistic distributions of the fatigue indication occurrence and the fatigue failure life for the given component based on the fatigue failure data collected during inspection;

h) forecasting each given component that will be in service during a subsequent time increment;

i) re-simulating in service usage and inspection of the given components over the subsequent time period to determine a revised acceptable inspection program for the given components based on

1) the revised probabilistic distributions of the fatigue indication occurrence and fatigue failure life,

2) a probability of detecting a detectible fatigue indication during inspection of any one of the given components,

3) the forecasted components that will be in service during the subsequent time increment, and

4) the acceptable in service failure rate; and

j) inspecting the given components that are in service according to the revised inspection program to

1) collect additional fatigue failure data produced by the in service usage of the given components, and

2) if a fatigue indication is detected in one of the given components during inspection, removing the one given component from service to prevent an in service failure.