An application of a recently introduced framework for isolating unprecedented faults for an automotive engine EGR valve system is presented. Using normal behavior data generated by a high fidelity engine simulation, the Growing Structure Multiple Model System (GSMMS) is used to construct models of normal behavior for EGR valve system and its various subsystems. Using the GSMMS models as a foundation, anomalous behavior of the entire system is then detected as statistically significant departures of the most recent modeling residuals from the modeling residuals during normal behavior. By reconnecting anomaly detectors to the constituent subsystems, the anomaly can be isolated without the need for prior training using faulty data. Furthermore, faults that were previously encountered (and modeled) are recognized using the same approach as the anomaly detectors. / text

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The nematode <i>Caenorhabditis elegans</i> is a small invertebrate whose nervous system, general anatomy, and normal development are all (comparatively) extremely simple and reproducible, and have all been well characterised. This dissertation describes work based on two different approaches to the study of the control of neural development in <i>C. elgans</i>. In the first part the course of neural outgrowth in the region of the ventral nerve cord was followed from electron microscope reconstructions of a series of fixed embryos. Following this, neurons whose processes grew out early were removed by laser ablation of their parent cells and the effect on subsequent nerve outgrowth was assayed by electron microscope reconstruction. The first process to grow along the ventral cord is that of AVG, and its presence is required for the normal, highly asymmetrical structure of the cord. Two more examples of dependency on particular nerve processes for correct guidance can be deduced from experiments in which cells at the back of the animal were removed. The observations of normal development and the ablation experiments can in some cases be related to defects seen in <i>uncoordinated</i> mutants with defective nerve process organisation. The second approach was to establish and analyse a computer data base containing all the synaptic connectivity data obtained by White et al. (1986), who reconstructed at an electron microscope level the entire central nervous system regions of two <i>C. elegans</i> specimens. Since the circuitry is highly reproducible, comparisons of connections between equivalent pairs of cells can be used to infer properties of synapse formation. Overall, the <i>C. elegans</i> circuitry is anatomically highly directional, and what little chemical synaptic feedback that is seen is mostly part of reciprocal synaptic connections. There is also evidence for physical organisation of the nerve processes in subbundles of the main process tract in the central nervous system.

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