✦ LIBER ✦

Network fault diagnosis using a realistic abductive reasoning model

✍ Scribed by G. Prem Kumar; P. Venkataram

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 554 KB
Volume: 8
Category: Article
ISSN: 0952-1976
DOI: 10.1016/0952-1976(95)00054-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Abduction-Based Diagnosis: A Competition

Abduction-Based Diagnosis: A Competition-Based Neural Model Simulating Abductive Reasoning

✍ B. Elayeb; S.G. Wang 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 945 KB

Diagnosis is an active research area where many diagnostic methods have been proposed. In this paper, we make explicit the features that characterize these methods within a conventional framework as well as within a neural framework. Specifically, we show that each representation of diagnostic knowl

Abductive reasoning in Bayesian belief n

Abductive reasoning in Bayesian belief networks using a genetic algorithm

✍ E.S. Gelsema 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 527 KB

Fault diagnosis of a cstr using fuzzy ne

Fault diagnosis of a cstr using fuzzy neural networks

✍ J Zhang; A.J Morris; G.A Montague 📂 Article 📅 1994 🏛 Elsevier Science ⚖ 774 KB

A case-based reasoning approach to power

A case-based reasoning approach to power transformer fault diagnosis using dissolved gas analysis data

✍ Z. Qian; W. S Gao; F. Wang; Z. Yan 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 304 KB

Multiple fault diagnosis for a machine t

Multiple fault diagnosis for a machine tool's flood coolant system using a neural network

✍ Paul R. Drake; Difu Pant 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 310 KB

Fault Detection and Diagnosis in a Sour

Fault Detection and Diagnosis in a Sour Gas Absorption Column Using Neural Networks

✍ R. M. Behbahani; H. Jazayeri-Rad; S. Hajmirzaee 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 456 KB 👁 1 views

## Abstract Process fault detection and diagnosis is an important problem in plant control at the supervisory level. It is the central component of abnormal event management which has attracted a lot of attention recently. In this study, the use of artificial neural networks (ANN) for fault detecti