KR940007704A - Machine diagnostic method and its system - Google Patents

Machine diagnostic method and its system Download PDF

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Publication number
KR940007704A
KR940007704A KR1019930019498A KR930019498A KR940007704A KR 940007704 A KR940007704 A KR 940007704A KR 1019930019498 A KR1019930019498 A KR 1019930019498A KR 930019498 A KR930019498 A KR 930019498A KR 940007704 A KR940007704 A KR 940007704A
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South Korea
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database
information
rule information
machine
initial
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KR1019930019498A
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Korean (ko)
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에이. 스포토 토마스
히로시 히가시데
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제이. 엠. 린타마키
포드 모터 컴패니
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Publication of KR940007704A publication Critical patent/KR940007704A/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2257Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using expert systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Test And Diagnosis Of Digital Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Feedback Control In General (AREA)

Abstract

엑스퍼트 시스템은 완전히 분리된 관련 데이터 베이스에서 그 규칙정보를 얻고, 일반적인 규칙을 사용하는 컴퓨터 시스템에 제공된다(이 시스템은 테이터 구동형임).엑스퍼트 시스템 소프트웨어 구조는 다른 관련 데이터 베이스 파링(즉, 새로운 지식)이 이용되도록 하는 모듈형이며 이에 따라 소프트웨어는 새로운 용도에 신속하게 포트되게 된다. 엑스퍼트 시스템은 스탬핑 프레스와 같은 기계로서 사용을 위하여 특별히 채택되며 이에 따라 프레스를 누르는 시간을 감소시킨다. 새로운 관련 데이터 베이스 파일을 통한 엑스퍼스 시스템의 재사용성은 새로운 진단 용도를 신속하게 지원한다.Expert systems derive their rules from a completely separate, relevant database and are provided to computer systems that use common rules (the system is data driven). The expert system software architecture is responsible for parsing other related databases (i.e. new knowledge). ) Is modular, allowing software to be quickly ported to new uses. The expert system is specially adapted for use as a machine, such as a stamping press, thus reducing the press time. The reusability of the compass system through new associated database files quickly supports new diagnostic uses.

Description

기계 진단 방법과 그 시스템Machine diagnostic method and its system

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음Since this is an open matter, no full text was included.

제2도는 본 발명의 데이터 구동형 구조의 개략 블록도, 제4도는 시스템의 일반 규칙을 설명하는 개략 블록도, 제5도는 시스템의 하드웨어 구성의 개략도.2 is a schematic block diagram of a data driven structure of the present invention, FIG. 4 is a schematic block diagram illustrating general rules of the system, and FIG. 5 is a schematic diagram of a hardware configuration of the system.

Claims (10)

엑스퍼트 시스템과 지식 세트를 갖는 컴퓨터 시스템을 사용하는 복수의 요소를 갖는 기계의 결점을 진단하는 자동화된 방법에 있어서, 엑스퍼스 시스템에 의하여 처리 될 수 있는 규칙 정보를 나나태는 수단을 포함하는 지식 세트를 저장하기 위하여 엑스퍼트 시스템에서 분리된 데이터 베이스를 제공하며, 초기 명령을 수령하고, 초기 명령에 대한 응답으로 데이터 베이스에서 규칙 정보를 종적으로 검색하며, 엑스피트 시스템이 데이터 구동형임에 따라 결점을 식별하는 규칙정보를 처리하는 엑스퍼트 시스템을 이용하는 단계로 이루어지는 기계 진단 방법.An automated method for diagnosing defects in a machine having multiple elements using an expert system and a computer system having a knowledge set, the method comprising: a knowledge set comprising means for indicating rule information that can be processed by the XPS system It provides a separate database from the expert system to store data, receives initial commands, retrieves rule information from the database longitudinally in response to the initial commands, and identifies defects as the XFT system is data driven. Machine diagnostic method comprising the step of using an expert system for processing the rule information. 제1항에 있어서 상기 규칙 정보가 일반 규칙 정보인 방법.The method of claim 1, wherein the rule information is general rule information. 제1항에 있어서, 상기 데이터 베이스가 관련 데이터 베이스인 방법.The method of claim 1, wherein the database is an associated database. 제1항에 있어서, 상기 데이터 베이스가 물체 배위 데이터 베이스인 방법.The method of claim 1, wherein the database is an object coordination database. 제1항에 있어서, 상기 컴퓨터 시스템은 기계의 하나 이상의 제어기구에 결합되도록 체택되고, 상기 초기 명령은 하나 이상의 제어기구의 제어기구 정보를 기초로 하는 방법.The method of claim 1, wherein the computer system is adapted to be coupled to one or more control mechanisms of a machine, and wherein the initial command is based on control mechanism information of the one or more control mechanisms. 제1항에 있어서, 상기 초기 명령은 이용자 구동형 입자 신호를 기초로 하는 방법.The method of claim 1, wherein the initial command is based on a user driven particle signal. 입력 수단과 출력 수단을 갖는 컴퓨터 시스템과 엑스퍼트 시스템과 지식세트에 복수의 요소를 갖는 기계의 결점을 진단하기 위한 시스템에 있어서, 시스템의 사용자에게 출력 수단에 의하여 나타낼 수 있는 진단정보를 나타내는 수단과 엑스피트 시스템에 의하여 처리될 수 있는 규칙 정보를 나타내는 수단을 포함하는 지식세트를 저장하기 위한 엑스퍼트 시스템에서 분리된 데이터 베이스와, 초기 명령을 수령하는 수단으로 이루어지며, 상기 엑스퍼트 시스템은 초기 명령에 대한 응답으로 시스템의 사용자에게 이에 의하여 나타내어지는 출력 수단에 진단 정보의 일부를 전달하고, 입력 수단으로부터 진단 정보의 일부에 관련된 사용자 명령을 수령하며, 사용자 명령에 대한 응답으로 데이터 베이스에서 규칙 정보를 동적으로 검색하는, 데이터 구동형임에 따라 결점을 식별하는 규칙 정보를 처리하는 기계 진단 시스템.A system for diagnosing faults of a computer system having an input means and an output means, an expert system and a machine having a plurality of elements in a knowledge set, comprising: means for presenting diagnostic information that can be represented by an output means to a user of the system; The database comprises a separate database in an expert system for storing a knowledgeset comprising means for representing rule information that can be processed by the pit system, and means for receiving an initial command, said expert system responding to the initial command. To transmit a part of the diagnostic information to the output means represented by the user of the system, to receive a user command relating to the part of the diagnostic information from the input means, and to dynamically retrieve the rule information from the database in response to the user command. Data driven Im machine diagnostic system for processing a rule information to identify the shortcomings in accordance with. 제7항에 있어서, 상기 규칙 정보는 일반 정보인 시스템.8. The system of claim 7, wherein the rule information is general information. 제7항에 있어서, 상기 데이터 베이스는 관련 데이터 베이스인 시스템.8. The system of claim 7, wherein the database is an associated database. 제7항에 있어서, 상기 기계는 하나 이상의 제어기구에 의하여 제어되고, 상기 컴퓨터 시스템은 하나 이상의 제어기구에 결합되도록 채택되며, 상기 초기 명령은 하나 이상의 제어기구의 제어기구정보를 기초로 하는 시스템.8. The system of claim 7, wherein the machine is controlled by one or more control mechanisms, the computer system is adapted to be coupled to one or more control mechanisms, and wherein the initial command is based on control mechanism information of the one or more control mechanisms. ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.※ Note: The disclosure is based on the initial application.
KR1019930019498A 1992-09-23 1993-09-23 Machine diagnostic method and its system KR940007704A (en)

Applications Claiming Priority (2)

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US7/952,211 1992-09-23
US95221192A 1992-09-28 1992-09-28

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KR940007704A true KR940007704A (en) 1994-04-27

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JP (1) JPH06208465A (en)
KR (1) KR940007704A (en)
CA (1) CA2104306A1 (en)
DE (1) DE4333286C2 (en)
GB (1) GB2271004A (en)

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US5943485A (en) * 1996-10-15 1999-08-24 Motorola, Inc. Method for testing and for generating a mapping for an electronic device
DE19751273A1 (en) * 1997-11-19 1999-05-27 Siemens Ag Technical database management for product or process life cycle for diagnostics or training
US6490574B1 (en) 1997-12-17 2002-12-03 International Business Machines Corporation Method and system for managing rules and events in a multi-user intelligent agent environment
DE29803677U1 (en) * 1998-03-03 1998-10-08 Siemens AG, 80333 München Operator control and monitoring device
WO2004068275A2 (en) * 2003-01-17 2004-08-12 Dp Technology Corp. Rule-based system and method for machining a part
US6907313B2 (en) 2003-01-17 2005-06-14 Dp Technology Corp. Method and system for computer aided manufacturing
DE102004006848A1 (en) * 2004-02-12 2005-09-01 Deere & Company, Moline Method and monitoring system for monitoring the condition of working machines
EP2916187B1 (en) 2014-03-05 2018-11-07 Mikron Agie Charmilles AG Improved database for chatter predictions
DE102015001567A1 (en) 2015-02-10 2016-08-11 Karlsruher Institut für Technologie Device and method for acquiring, checking and storing process data from at least two process steps
CN110221145B (en) * 2019-06-03 2021-05-14 国家电网有限公司 Power equipment fault diagnosis method and device and terminal equipment

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US4949278A (en) * 1988-12-29 1990-08-14 International Business Machines Corporation Expert system architecture
CA2101926A1 (en) * 1991-02-05 1992-08-06 Fletcher Lawrence Hill Hierarchical distributed knowledge based machine initiated maintenance system
US5535321A (en) * 1991-02-14 1996-07-09 International Business Machines Corporation Method and apparatus for variable complexity user interface in a data processing system

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CA2104306A1 (en) 1994-03-29
JPH06208465A (en) 1994-07-26
DE4333286A1 (en) 1994-04-28
GB9318535D0 (en) 1993-10-20
DE4333286C2 (en) 1998-02-26
GB2271004A (en) 1994-03-30

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