Part 1 Plenary paper: robust model-based fault diagnosis - the state of the art, R.J. Patton. Part 2 Model-based diagnosis I: a new fault diagnosis approach in stochastic linear systems, J.Y. Keller et al. Part 3 Model-based diagnosis II: simultaneous detection, location and identification of faults for dynamic systems, G. Bloch et al. Part 4 Model-based diagnosis III: continuous and discrete time identification for fault detection, Sprosser and G.L. Gissinger. Part 5 Applications - power plants I: statistical diagnostics - a new integrating tool for man-machine interfaces, E.A. Averbukh et al. Part 6 Applications - power plants II: long-term wear monitoring and wear prediction by means of wear models, P. Neuenschwander et al. Part 7 Applications - chemical plants: fault detection of large parameter changes in a wastewater plant, M.J. Fuente et al. Part 8 Reliability and safety analysis I: communicating the safety aspects of industrial plants, K. Kaarela and J. Oksanen. Part 9 Reliability and safety analysis II: developments in reliability data collection and analysis, J.K. Vaurio. Part 10 Robust methods: robust fault detection and isolation in nonlinear systems, A. Zhirabok and O. Preobrazhenska. Part 11 Plenary paper: safety of nuclear power - who learns from whom?, B. Wahlstrom et al. Part 12 Model based diagnosis IV: holistic modelling as a tool for the diagnosis of critical complex systems, H.G. Natke and C. Cempel. Part 13 Model based diagnosis V: fault detection for sequentially controlled machines using temporal constraint nets, M. Minas. Part 14 Fuzzy and knowledge based methods: causal graphs for model-based diagnosis, J. Montmain and L. Leyval. Part 15 Applications - combustion engines: fuzzy classification of internal combustion engine faults based on neural network, Hua Deng et al. Part 16 Special case paper: model-based diagnosis of automotive engines - case study on a physical vehicle, J. Gertler and M. Costin. Part 17 Applications - components I: a low cost tool for diagnosis of antifriction bearings, A. Seeliger et al. Part 18 Applications - components II: sensor fault detection and isolation on a pilot heat exchanger, X. Simonart and M. Kinnaert. Part 19 Benchmark: diesel engine actuator fault isolation using multiple models hypothesis tests, S.B. Nielsen. Part 20 Special case paper: application of fuzzy logic to process supervision and fault diagnosis, P.M. Frank. Part 21 Comparison of diagnosis methods: detection of addictive and multiplicative faults - parity space vs. parameter estimation, Hofling and Pfeufer. Part 22 Case - inverted pendulum: fault detection and isolation in mechanical systems using adaptive friction compensation, D. Sauter et al. Part 23 Plenary paper: integration of fault detection and diagnosis methods, R. Isermann. Part 24 Neural networks: using neural networks in nuclear power plants for state diagnosis, J.P. Bonfert. Part contents).
