Abstract: The performance of a computer-controlled system (1) operating under the control of a first process (2), is monitored (4) by comparison (5) with a predetermined set of requirements (15, 25), to identify whether the performance of the system (1) meets the predetermined requirements. If the performance does not meet those requirements, an alternative program (22) may be selected, or generated from program elements stored in a library (60), to replace the current controller process (2).

Abstract: The present invention relates to a system and a method for automatically determining the relationship between a plurality of tasks comprising a process and then detecting any abnormalities in the execution of the process.

Abstract: A method of generating classifier parameters from a plurality of multivariate sample data, for use in subsequent classification, said classifier parameters relating to a plurality of intervals on each of the variables, said intervals being associated with classes, comprising: inputting said sample data; calculating a plurality of boundaries for each of said variables from said sample data, and deriving parameters defining said intervals from said boundaries.

Abstract: The performance of a computer-controlled system (1) operating under the control of a first process (2), is monitored (4) by comparison (5) with a predetermined set of requirements (15, 25), to identify whether the performance of the system (1) meets the predetermined requirements. If the performance does not meet those requirements, an alternative program (22) may be selected, or generated from program elements stored in a library (60), to replace the current controller process (2).

Abstract: Data from a monitoring system is analyzed for monitoring characteristics of a dynamic system. Characteristic data in respect of a dynamic system is monitored and provided with at least one known normal state. Characteristic data is received from a monitoring system and confirmation information from an operator when the dynamic system is in a known normal state. A normality model is derived including comprising data indicative of known normal states in response to received characteristic data and confirmation information. Future characteristic data is predicted from the normality model a difference function is provided indicating an acceptable difference between predicted and received characteristic data. Predicted characteristic data is compared with received characteristic data in conjunction with the difference function and an abnormality signal is produced if the difference exceeds the difference function.

Abstract: Data analysis methods are characterized in terms of tangible and non-tangible parameters such as user-friendliness, accuracy, simplicity, interpretability, speed, cost, comprehensibility, and transparency, and then matched to pre-specified requirements. A data analysis method is selected in accordance with a user preference, wherein the user preference relates to a feature of the data analysis method and is represented by a fuzzy set comprising a range of values.

Abstract: With known systems, when performing analysis of data, users typically have a solution-oriented view: there is a problem, and data has been collected with a view to providing some information about the problem. Usually a method is selected, based on vague knowledge about some feature of the problem. This is often sub-optimal, because the user can be assumed to be an expert in the application area, but not in data analysis. Embodiments of the invention provide a means of characterising data analysis methods in terms of tangible and non-tangible parameters such as user-friendliness, accuracy, simplicity, interpretability, speed, cost, comprehensibility, and transparency, and then matching these to some pre-specified requirements. This means is provided by a method of selecting a data analysis method in accordance with a user preference, wherein the user preference relates to a feature of the data analysis method and is represented by a fuzzy set comprising a range of values.