SYSTEM AND METHOD FOR OPTIMIZATION OF RECOMMENDED SERVICE INTERVALS

• US 20170242081A1
• Filed: 02/24/2016
• Published: 08/24/2017
• Est. Priority Date: 02/24/2016
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: KEMP, JR., Preston Butler
• Application Number:
  US15/052,536
• Publication Number:
  US 20170242081A1
• Time in Patent Office: Days
• CPC Class Codes: G01R 31/40 Testing power supplies testing photovoltaic devices H02S50/10
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A method for determining a recommended maintenance interval for a fleet of units as a function of the operational profile of each unit within the fleet. Models are created at the failure mode level for each component of interest. Models for all of the individual failure modes are combined to result in an operational metric of interest which a business owning the fleet of units may prefer to hold constant for each unit in the fleet. Design evaluation tools may be utilized to evaluate boundaries. A system for determining the recommended maintenance interval.

Claims

1. A method for determining a recommended maintenance interval for each of a plurality of units within a fleet of power generation units, comprising:

collecting operational and unplanned maintenance data for a plurality of units within a fleet of power generation units;

evaluating the operational and unplanned maintenance data;

generating a plurality of failure mode models based on the empirical data;

combining the plurality of failure mode models;

establishing a target operational metric for the combination of the plurality of failure mode models;

generating a fleet recommended maintenance interval for the fleet of power generation units based on the target operational metric;

calculating an operational profile for each of the plurality of units within the fleet of power generation units;

calculating the recommended maintenance interval for each of the plurality of units within the fleet of power generation units based on the operational profile of each unit.

2. The method for determining the recommended maintenance interval according to claim 1, wherein the fleet of power generation units is re-evaluated within the new recommended maintenance interval.

3. The method for determining the recommended maintenance interval according to claim 1, wherein the chosen operational metric is one of:

a likelihood of unplanned maintenance, a cost of unplanned maintenance, a reliability, an availability, or a total lifecycle cost.

4. The method for determining the recommended maintenance interval according to claim 1, wherein the chosen operational metric is directly linked to reliability models and data at the failure mode level for one or more subsystems of interest for each unit.

5. The method for determining the recommended maintenance interval according to claim 2, wherein an evaluation is conducted using a design evaluation tool.

6. The method for determining the recommended maintenance interval according to claim 1, wherein the plurality of failure mode models are designed to output a probability of an unplanned maintenance event as a function of an operational parameter.

7. The method for determining the recommended maintenance interval according to claim 1, wherein the plurality of failure mode models include consequence data for consequences of a failure mode if it occurs.

8. The method for determining the recommended maintenance interval according to claim 7, wherein the consequence data includes event duration, event cost, and/or repair cost.

9. The method for determining the recommended maintenance interval according to claim 1, wherein the combination of failure mode models result in an operational metric of interest which a business determining the recommended maintenance interval chooses to maintain constant for each unit in the fleet.

10. The method for determining the recommended maintenance interval according to claim 1, further comprising adjusting the recommended maintenance interval such that each operational profile results in a same value of the chosen operational metric.

11. The method for determining the recommended maintenance interval according to claim 1, wherein the operational profile comprises a curve in a factored starts versus factored hours domain.

12. The method for determining the recommended maintenance interval according to claim 11, wherein the factored starts versus factored fired hours domain defines the maintenance interval for any given hours/starts ratio.

13. The method for determining the recommended maintenance interval according to claim 5, wherein the design evaluation tool comprises Failure Modes and Effects Analysis (FMEA) to determine if any additional failure mode models should be included in the combined plurality of failure mode models.

14. The method for determining the recommended maintenance interval according to claim 1, further comprising determining failure mode models at a component level.

15. A system for determining a recommended maintenance interval for a unit within a fleet of units, comprising:

the fleet of units;

at least a first tool configured to measure, collect, and/or capture reliability data of the fleet of units;

at least a first storage device configured to record the reliability data of the fleet of units; and

at least a first analysis device configured to evaluate the reliability data of the fleet of units;

wherein the analysis device is arranged to have an input whereby a user may select an operating metric and the analysis device is configured to generate a recommended service interval based on at least the reliability models and the target operating metric.