Add to ORKGAbstract – The paper describes the hybrid solution, based on Artificial Neural Networks, ANNs, and production rule adopted in the realization of an Instrument Fault Detection, Isolation, and Accommodation scheme for automotive applications. Details on the ANN architectures and training are given together with diagnostic and dynamic performance of the scheme
In the context of automotive and two-wheeled vehicles, the comfort and safety of drivers and passeng...
This paper presents a novel Artificial Neural Network based Fault Detection, Isolation and Substitut...
The paper deals with the use of Support Vector Machines (SVMs) and performance comparisons with Arti...
This paper describes the hybrid solution, based on artificial neural networks (ANNs), and the produc...
The paper describes the implementation of an Instrument Fault Detection, Isolation and Accommodation...
The paper describes the implementation of an instrument fault detection, isolation, and accommodatio...
In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an i...
fault detection and accommodation using neural networks with application to a non-linear unmanned ai...
Fault detection and isolation (FDI) has become one of the most important aspects of automobile desig...
Sensor failure detection, isolation, and accommodation using a neural network approach is described....
The application of a new method for fault diagnosis in an automotive diesel engine is presented. Two...
In this paper, a new fault diagnosis method using an adaptive neural network for automotive engines ...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
In the context of automotive and two-wheeled vehicles, the comfort and safety of drivers and passeng...
This paper presents a novel Artificial Neural Network based Fault Detection, Isolation and Substitut...
The paper deals with the use of Support Vector Machines (SVMs) and performance comparisons with Arti...
This paper describes the hybrid solution, based on artificial neural networks (ANNs), and the produc...
The paper describes the implementation of an Instrument Fault Detection, Isolation and Accommodation...
The paper describes the implementation of an instrument fault detection, isolation, and accommodatio...
In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an i...
fault detection and accommodation using neural networks with application to a non-linear unmanned ai...
Fault detection and isolation (FDI) has become one of the most important aspects of automobile desig...
Sensor failure detection, isolation, and accommodation using a neural network approach is described....
The application of a new method for fault diagnosis in an automotive diesel engine is presented. Two...
In this paper, a new fault diagnosis method using an adaptive neural network for automotive engines ...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
In the context of automotive and two-wheeled vehicles, the comfort and safety of drivers and passeng...
This paper presents a novel Artificial Neural Network based Fault Detection, Isolation and Substitut...
The paper deals with the use of Support Vector Machines (SVMs) and performance comparisons with Arti...