David Antory

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This paper presents a case study of the application of a data-driven monitoring technique to diagnose air leaks in an automotive diesel engine. Using measurement signals taken from the sensors/actuators which are present in a modern automotive vehicle, a data-driven diagnostic model is built for condition monitoring purposes. Detailed investigations have(More)
This paper presents a new nonlinear multivariate statistical process control technique for identifying and isolating the root cause of abnormal process behavior. The new technique is a nonlinear extension to the variables reconstruction technique by (Dunia et al., 1996), based on nonlinear principal component analysis (NLPCA). This work demonstrates that(More)
Yingping Huang, David Antory, R. Peter Jones, Craig Groom, Ross McMurran, Peter Earp and Francis Mckinney International Automotive Research Centre (IARC), Warwick Manufacturing Group, University of Warwick. School of Engineering and IARC, University of Warwick Jaguar Cars Ltd. Address: Coventry, CV4 7AL, United Kingdom Phone: +44 (0)24 7657 5928 Fax: +44(More)
  • David Antory
  • International Conference on Computational…
  • 2005
The application of a new method for fault diagnosis in an automotive diesel engine is presented. Two common types of fault are investigated: (i) sensor fault, caused by a bias in the inlet manifold pressure sensor and (ii) process fault, caused by small air leaks in the inlet manifold plenum chamber. Such faults may lead to increased emission levels which,(More)
This paper presents simple and practical methodologies for early engine misfire detection. Two diagnostics models, one based on standard linear system identification approaches and a second using a novel nonlinear extension of the linear approaches, involving a multilayer perceptron neural network, were investigated. The models were validated using(More)
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