Diagnosis of equipment failures using an integrated approach of case based reasoning and reliability analysis

• US 7,313,573 B2
• Filed: 09/17/2003
• Issued: 12/25/2007
• Est. Priority Date: 09/17/2003
• Status: Expired due to Fees

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Leung, Ying Tat, Parija, Gyana Ranjan, Sharma, Samir
• Primary Examiner(s): Chen, Susan
• Application Number:
  US10/663,907
• Publication Number:
  US 20050060323A1
• Time in Patent Office: 1,560 Days
• Field of Search: 707/6, 714/1, 714/37, 706/45, 708/160
• US Class Current: 1/1
• CPC Class Codes: G05B 23/0275 Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

Claims

1. A method to diagnose equipment failures using an integrated approach of case-based reasoning and reliability analysis, comprising the steps of:

collecting a statistical reliability data for each of a plurality of given equipments and for each of the hardware components of said equipment, said collecting including calculating a statistical average time between two successive failures of the equipment, calculating a statistical average time between successive two failures for each of said hardware components, calculating a statistical average time to repair failures of the equipment and calculating a statistical average time to repair failures of each of its hardware components;

constructing a case base database for each of the equipment, wherein each case based database record comprises at least four fields, including a failed equipment identifier field, a failed component identifier field, a failure description text field, and a solution record field;

receiving an equipment problem description from a user, said description including a problem equipment identifier and a problem description text;

generating for each of said hardware components a conditional statistical probability of said component having a failed state given that the equipment identified by the user-input problem equipment identifier has a failed state, based on said collected statistical reliability data;

matching the problem description test input by the user to the failure description text field of the case base database records to calculate a case-based probability for each of said hardware components associated with said failed state;

generating a list of component troubleshooting recommendations based on said generated conditional statistical probabilities and said calculated case base probabilities; and

displaying said list of generated troubleshooting recommendations.

2. A decision support system to diagnose equipment failures using an integrated approach of case-based reasoning and reliability analysis, comprising:

a statistical reliability database storing a statistical reliability data representing, for each of a plurality of given equipments and for each of the hardware components of said equipment, a statistical average time between two successive failures of the equipment, the statistical average time between two successive failures for each of its hardware components, the statistical average time to repair failures of the equipment and the statistical average time to repair failures of each of its hardware components;

a case base maintenance management system database for the equipment wherein each case base database record comprises at least four fields, including a failed equipment identifier field, a failed component identifier field, a failure description text field, and a solution record field;

a decision support system database;

a decision support system client for receiving an equipment problem description from a user, said description including a problem equipment identifier and a problem description text;

a decision support system server receiving input from the decision support system client and accessing said case base maintenance management system database and said decision support system database, said decision support system server including

a real-time decision support system engine for calculating failure probability for each hardware component in the equipment, wherein said engine is

arranged to receive an equipment problem description from a user, said description including a problem equipment identifier data and a problem description text;

arranged to generate, for each of said hardware components a conditional statistical probability of said component having a failed state given that the equipment identified by the user-input problem equipment identifier has a failed state, based on said collected statistical reliability data;

arranged to match the problem description test input by the user to the failure description text field of the case base database records to calculate a case-based probability for each of said hardware components associated with said failed state;

arranged to generate a list of component troubleshooting recommendations based on said generated conditional statistical probabilities and said calculated case base probabilities, and

arranged to display said a list of component troubleshooting recommendations ranked by said generated conditional statistical probabilities and said calculated case base probabilities computed for each hardware component, and to retrieve corresponding past solutions from the case base maintenance management system database; and

a case base update processor for copying closed failure transaction records from the case base maintenance management systems database, and extracting information from these transaction records to obtain attributes required by said real-time decision support system engine, and indexing each closed failure transaction record by a failed component identification and a number of occurrence of failure of that particular component.