Abstract: A system for generating a diagnosis of the probable cause of detected faults. Preferably, a user interface is provided and a Bayesien network is employed wherein probabilities are generated automatically and a manual process is used to construct a probability table. The system also allows multiple hypotheses and/or diagnoses to be presented simultaneously to the operator.

Abstract: A method is provided for controlling, monitoring and regulating processes in industrial plants, especially complex industrial processes, such as plant management in failure mode situations in a nuclear power plant. Robots provided as a computation program and human operators interact with sensors and actuators being coupled to a process and procuring process information or influencing the process. Information is collected about how the values of the process parameters are developed and what actions are triggered by the robots and the human operators in a log, by recording both a history of plant performance and an action history in the log. A set of specifications of activities is supplied which indicate what actions in what types of situations can be triggered, for referring the types both to the process history and the action history, and each of which contain one set of references to information on executing the actions being directed to the robots or the human operators.