Journal ArticleDOI
Optimal selection of measuring points in complex plants by linear models
TLDR
In this article, a new method for optimizing measurement design is proposed based on multiple Gauss-Jordan elimination of the system of linear mathematical model equations and solves the problem of instrumentation design in new plants as well as solving existing measuring systems.Abstract:
For reliable information on operating plants it is essential to design measuring points well by selecting directly measured quantities from the set of all measurable quantities.
This article deals with a new method for optimizing measurement design. It is based on multiple Gauss-Jordan elimination of the system of linear mathematical model equations and solves the problem of instrumentation design in new plants as well as the problem of optimizing existing measuring systems. Optimization methods for linear objective functions and for objective functions of general type are proposed. The method also offers a complex classification of quantities (observability and redundancy). After the optimization, the problem is presolved and is ready for an optimal processing of measured data. The mathematical model is reduced to the minimum set of equations and quantities relevant to the solution of a given problem. From a numerical standpoint, the solution is efficient.read more
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Journal ArticleDOI
Data reconciliation — Progress and challenges
TL;DR: The detection of gross errors in data and of pre-adjustment of data, finding departures from steady state, estimation of the variance structure of the data, observability of unmeasured quantities and redundancy of measurements are discussed.
Proceedings ArticleDOI
Optimal design of fault tolerant sensor networks
TL;DR: The design of optimal sensor networks thus resumes to finding pseudo-minimal sensor sets such that the mean time before losing the observability property is larger than a pre-defined value.
Journal ArticleDOI
Locating sensors in complex chemical plants based on fault diagnostic observability criteria
TL;DR: A digraph-based approach is proposed for the problem of sensor location for identification of faults and various graph algorithms that use the developed digraph in deciding the location of sensors based on the concepts of observability and resolution are discussed.
Journal ArticleDOI
On the theory of optimal sensor placement
TL;DR: In this paper, an equivalent reformulation of the design problem such that the dimension of the NLP is independent of all decision variables is presented, and the traditional sensor-placement problem based on static process conditions is extended to linear dynamic processes.
Journal ArticleDOI
Design and retrofit of sensor networks in process plants
TL;DR: A novel procedure to find cost-optimal sensor networks is proposed that is minimized subject to qualifying constraints that are related to certain requirements of data reconciliation.
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