1 |
Bay, O. F., and Bayir, R. (2005). Kohonen network-based fault diagnosis and condition monitoring of pre-engaged starter motors. Int. J. Automotive Technology 6, 4, 341-350
과학기술학회마을
|
2 |
Gertler, J. J., Costine, M., Xiaowen, Fang, Hira, R., Kowalczuk, Z., and Qiang, Luo (1993). Model-based on-board fault detection and diagnosis for automotive engines. Control Engineering Practice 1, 1, 3-17
DOI
ScienceOn
|
3 |
Jakubek, S., and Strasser, T. (2002). Fault diagnosis using neural networks with ellipsoidal basis functions. Proc. American Control Conf., May 8-10, Anchorage, AK, 3846-3851
|
4 |
Kimmich, F., Schwarte, A., and Isermann, R. (2005). Fault detection for modern diesel engines using signal and process model-based methods. Control Engineering Practice, 13, 189-203
DOI
ScienceOn
|
5 |
Ljung, L. (1999). System Identification - Theory for the User, 2nd edn. Prentice-Hall. 361-369
|
6 |
Wu, J.-D., and Chen, J.-C. (2006). Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines. NDT & E Int. 39, 4, 304-311
DOI
ScienceOn
|
7 |
Zhang, X. D., Polycarpou, M. M., and Parisini, T. (2002). A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems. IEEE Trans. Automatic Control 47, 4, 576-590
DOI
ScienceOn
|
8 |
Antory, D. (2007). Application of a data-driven monitoring technique to diagnose air leaks in an automotive diesel engine: A case study. Mechanical Systems and Signal Processing, 21, 795-808
DOI
ScienceOn
|
9 |
Evans-Pughe, C. (2006). Learning to drive [tightening emissions regulations], engineering & technology.Institution of Engineering and Technology 1, 2, 42-45. UK
|
10 |
Antory, D., Kruger, U., Irwin, G., and McCullough, G. (2005). Fault diagnosis in internal combustion engines using non-linear multivariate statistics. Proc. Institution of Mechanical Engineers Part I - J. Systems and Control Engineering 219, 14, 243-258
|
11 |
Manzie, C., Palaniswami, M., and Watson, H. (2001). Gaussian networks for fuel injection control. Proc. IMechE Part D, Automobile Engineering, 215, 1053-1068
|
12 |
Lee, S. J., Park, K., Hwang, T. H., Hwang, J. H., Jung, Y. C., and Kim, Y. J. (2007). Development of hardwarein-the-loop simulation system as a test bench for ESP unit. Int. J. Automotive Technology 8, 2, 203-209
과학기술학회마을
|
13 |
Official Journal of the European Communities L 350/1 (1998). Directive 98/69/EC of the European Parliament and of the Council of 13 October 1998 relating to measures to be taken against air pollution by emissions from motor vehicles and amending Council Directive 70/220/EEC
|
14 |
Capriglione, D., Liguori, C., Pianese, C., and Pietrosanto, A. (2003). On line sensor fault detection, isolation and accommodation in automotive engines. IEEE Trans. Instrumentation and Measurement 52, 4, 1182-1189
DOI
ScienceOn
|
15 |
Reineman, M. (2000). Effectiveness of OBD II Evaporative Emission Monitors – 30 Vehicle Study. U.S. Environmental Protection Agency Report. October. EPA420-R-00-018
|
16 |
Shayler, P. J., Goodman, M., and Ma, T. (2000). The exploitation of neural networks in automotive engine management systems. Engineering Applications of Artificial Intelligence 13, 2, 147-157
DOI
ScienceOn
|
17 |
Hendricks, E., Engler, D., and Fam, M. (2000). A Generic Mean Value Engine Model for Spark Ignition Engines. Institute of Automation. Technical Report. Denmark Technical University. www.iau.dtu.dk/~eh/
|
18 |
Nyberg, M., and Stutte, T. (2004). Model based diagnosis of the air path of an automotive diesel engine. Control Engineering Practice, 12, 513-525
DOI
ScienceOn
|
19 |
Sangha, M. S., Yu, D. L., and Gomm, J. B. (2006). Onboard monitoring and diagnosis for spark ignition engine air path via adaptive neural networks. Proc. IMechE, Part D, J. Automobile Engineering, 220, 1641-1655
|
20 |
Tan, Y., and Saif, M. (2000). Neural-networks-based nonlinear dynamic modelling for automotive engines. Neurocomputing, 30, 129-142
DOI
ScienceOn
|
21 |
Yu, D. L., and Gomm, J. B. (2003). Implementation of neural network predictive control to multivariable chemical reactor. Control Engineering Practice 11, 11, 1315-1323
DOI
ScienceOn
|