Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design - Part 777 studies the combination of various methods of designing for reliability, availability, maintainability and safety, as well as the latest techniques in probability and possibility modelling, mathematical algorithmic modelling, evolutionary algorithmic modelling, symbolic logic modelling, artificial intelligence modelling, and object-oriented computer modelling, in a logically structured approach to determining the integrity of engineering design. . | 744 5 Safety and Risk in Engineering Design Fig. Petri net-based optimisation algorithms in system simulation dynamic modelling time series prediction adaptive control etc. of various engineering design problems. A typical design problem that is ideal for ANN modelling is the formulation and evaluation of stream surge pressures in continuous flow processes given in the simulation option of the AIB blackboard as illustrated in Fig. . The NeuralExpert NeuroDimension 2001 program imbedded in the AIB blackboard asks specific questions and intelligently builds an ANN. The first step in building an ANN is the specification of the problem type as illustrated in Fig. . The four currently available problem types in the NeuralExpert are classification function approximation prediction and clustering. Once a problem type is selected the program configures the parameters based on a description of the problem. These settings can be modified in the AIB blackboard or in the NeuralExpert. Input data selection is the next step in constructing an ANN model. The input file selection panel specifies where the input data file is located by choosing the browse button and searching through the standard Windows tree structure to find the relevant file referenced in the AIB blackboard database or by clicking on the triangle at the right edge of the text box to indicate a list of recently used text files in the NeuralExpert. Application Modelling of Safety and Risk in Engineering Design 745 Fig. AIB blackboard model with CAD data browser option Figure illustrates typical input data attributes for the example used to determine the stream surge pressure given in the simulation model option of the AIB blackboard illustrated in Fig. . In this case the sample data would represent x1 x2 x3 x4 values of the input attributes. The pressure surge Petri net given in Fig. includes conditions of flow surge criteria that now become the ANN input attributes such as .
