Multiple fault detection and isolation using artificial neural networks in sensors of an internal combustion engine

M Cervantes-Bobadilla, J García-Morales… - … Applications of Artificial …, 2023 - Elsevier
Technology advances rapidly in vehicles with internal combustion engines; therefore,
detecting vehicles' faults becomes more complex, primarily due to the increased usage of …

Dynamic fault detection and isolation for automotive engine air path by independent neural network model

DL Yu, A Hamad, JB Gomm… - International Journal of …, 2014 - journals.sagepub.com
Fault detection and isolation have become one of the most important aspects of automobile
design. A new fault detection and isolation scheme is developed for automotive engines in …

Fault diagnosis for internal combustion engines using intake manifold pressure and artificial neural network

JD Wu, CK Huang, YW Chang, YJ Shiao - Expert Systems with Applications, 2010 - Elsevier
This paper describes an internal combustion engine fault diagnosis system using the
manifold pressure of the intake system. The manifold pressure of the engine intake system …

Online ANN-based fault diagnosis implementation using an FPGA: Application in the EFI system of a vehicle

A Namigtle-Jiménez, RF Escobar-Jiménez… - ISA transactions, 2020 - Elsevier
In this research, fault detection and diagnosis (FDD) scheme for isolating the damaged
injector of an internal combustion engine is formulated and experimentally applied. The FDD …

Fault detection and isolation of gas turbine engines using a bank of neural networks

SS Tayarani-Bathaie, K Khorasani - Journal of Process Control, 2015 - Elsevier
The main goal of this paper is to design and develop a fault detection and isolation (FDI)
scheme for aircraft gas turbine engines by using neural networks. Towards this end, first for …

Fault detection and identification of automotive engines using neural networks

MS Sangha, JB Gomm, DL Yu, GF Page - IFAC Proceedings Volumes, 2005 - Elsevier
Fault detection and isolation (FDI) in dynamic data from an automotive engine air path using
artificial neural networks is investigated. A generic SI mean value engine model is used for …

Fault diagnosis in internal combustion engines using extension neural network

Y Shatnawi, M Al-Khassaweneh - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
The internal combustion engine (ICE) is a special type of reciprocating and rotating machine
which is an essential part of every automobile and industry in our modern life. Various faults …

Genetic algorithm based active fault-tolerant control system for air fuel ratio control of internal combustion engines

MS Iqbal, AA Amin - Measurement and Control, 2022 - journals.sagepub.com
Internal Combustion (IC) engines are commonly used in the process industry, and proper Air-
Fuel Ratio (AFR) regulation in their fuel system is essential for improved engine …

Artificial neural network based fault diagnosis of IC engines

J Chen, R Randall, B Peeters, W Desmet… - Key engineering …, 2012 - Trans Tech Publ
Fault diagnosis is important to avoid unforeseen failures of IC engines, but normally requires
an expert to interpret analysis results. Artificial Neural Networks are potential tools for the …

A Study on Multi Fault Diagnostics of Smart Unmanned Aerial Vehicle Propulsion System Using Data Sorting and Neural Networks

C Kong, S Kho, J Ki, C Lee - … Expo: Power for …, 2008 - asmedigitalcollection.asme.org
The types and severities of most engine faults are so complex that it is not easy for a
conventional model based fault diagnosis approach like the GPA (Gas Path Analysis) …