Variable Selection and Grouping in a Paper Machine Application

Ahola, Timo; Juuso, Esko; Leiviskä, Kauko

doi:10.3182/20060830-2-sf-4903.00016

Cited by 2 publications

(1 citation statement)

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“…Several indices can be combined in linguistic equation (LE) modelling since the indices are dimensionless. Grouping is important for large scale systems [28].…”

Section: Intelligent Indicesmentioning

confidence: 99%

Intelligent Performance Analysis with a Natural Language Interface

Juuso¹

2017

Management Systems in Production Engineering

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Abstract:Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

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“…Several indices can be combined in linguistic equation (LE) modelling since the indices are dimensionless. Grouping is important for large scale systems [28].…”

Section: Intelligent Indicesmentioning

confidence: 99%