Utilizing Repair Cases of Home Electrical Appliances
Summary :
We have developed a diagnostic Case-Based Reasoning (CBR) system, Doctor, which infers possible defects in a home electrical appliance and lists up necessary service parts. The CBR is suitable to build a diagnostic system for the field service because the CBR imitates how experienced service technicians infer and is able to learn defect trends and novel repair cases from a service report database. In order to apply a CBR system to this real-world problem, Our system has the following new features: (1) Its CBR mechanism utilizes not only repair cases, but also diagnostic rules that are elicited from human experts so that accurate diagnosis can be achieved. (2) Its casebase maintenance mechanism updates the casebase and adapts it to the changing real world.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.12 pp.1612-1617
- Publication Date
- 1999/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Artificial Intelligence and Cognitive Science
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Satoshi HORI, Hiromitsu SUGIMATSU, Soshi FURUKAWA, Hirokazu TAKI, "Utilizing Repair Cases of Home Electrical Appliances" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 12, pp. 1612-1617, December 1999, doi: .
Abstract: We have developed a diagnostic Case-Based Reasoning (CBR) system, Doctor, which infers possible defects in a home electrical appliance and lists up necessary service parts. The CBR is suitable to build a diagnostic system for the field service because the CBR imitates how experienced service technicians infer and is able to learn defect trends and novel repair cases from a service report database. In order to apply a CBR system to this real-world problem, Our system has the following new features: (1) Its CBR mechanism utilizes not only repair cases, but also diagnostic rules that are elicited from human experts so that accurate diagnosis can be achieved. (2) Its casebase maintenance mechanism updates the casebase and adapts it to the changing real world.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_12_1612/_p
Copy
@ARTICLE{e82-d_12_1612,
author={Satoshi HORI, Hiromitsu SUGIMATSU, Soshi FURUKAWA, Hirokazu TAKI, },
journal={IEICE TRANSACTIONS on Information},
title={Utilizing Repair Cases of Home Electrical Appliances},
year={1999},
volume={E82-D},
number={12},
pages={1612-1617},
abstract={We have developed a diagnostic Case-Based Reasoning (CBR) system, Doctor, which infers possible defects in a home electrical appliance and lists up necessary service parts. The CBR is suitable to build a diagnostic system for the field service because the CBR imitates how experienced service technicians infer and is able to learn defect trends and novel repair cases from a service report database. In order to apply a CBR system to this real-world problem, Our system has the following new features: (1) Its CBR mechanism utilizes not only repair cases, but also diagnostic rules that are elicited from human experts so that accurate diagnosis can be achieved. (2) Its casebase maintenance mechanism updates the casebase and adapts it to the changing real world. },
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Utilizing Repair Cases of Home Electrical Appliances
T2 - IEICE TRANSACTIONS on Information
SP - 1612
EP - 1617
AU - Satoshi HORI
AU - Hiromitsu SUGIMATSU
AU - Soshi FURUKAWA
AU - Hirokazu TAKI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1999
AB - We have developed a diagnostic Case-Based Reasoning (CBR) system, Doctor, which infers possible defects in a home electrical appliance and lists up necessary service parts. The CBR is suitable to build a diagnostic system for the field service because the CBR imitates how experienced service technicians infer and is able to learn defect trends and novel repair cases from a service report database. In order to apply a CBR system to this real-world problem, Our system has the following new features: (1) Its CBR mechanism utilizes not only repair cases, but also diagnostic rules that are elicited from human experts so that accurate diagnosis can be achieved. (2) Its casebase maintenance mechanism updates the casebase and adapts it to the changing real world.
ER -
English
