A Robust Neural Network Algorithm For Automotive Air Conditioning Fault Detection
Accurate and incipient fault detection of air conditioning systems is highly demanded in a car to prevent energy waste and high maintenance cost. However, most fault detection techniques require experiences of drivers which are usually unavailable. In this study, a novel hybrid method is proposed to...
Main Authors: | Dinh Anh Tuan Tran, Huong Nguyen Thi Cam, Quoc Minh Phan |
---|---|
Format: | Article |
Language: | English |
Published: |
Society of Automotive Engineers of Japan, Inc.
2020-01-01
|
Series: | International Journal of Automotive Engineering |
Online Access: | https://www.jstage.jst.go.jp/article/jsaeijae/11/1/11_20204128/_article/-char/ja |
Similar Items
-
Pivotal Role of Heteroatoms in Improving the Corrosion Inhibition Ability of Thiourea Derivatives
by: Dinh Quy Huong, et al.
Published: (2020-10-01) -
A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System
by: Tuan Anh Nguyen
Published: (2023-01-01) -
Establishing a novel adaptive fuzzy control algorithm for an active stabilizer bar with complex automotive dynamics model
by: Tuan Anh Nguyen
Published: (2024-01-01) -
Automotive air conditioning /
by: 365728 Dwiggins, Boyce H.
Published: (1978) -
Automotive air conditioning /
by: 177381 Weissler, Paul
Published: (1981)