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Vol. 124, Issue 1, January 2011, pp.11-18

 

Bullet

Classification of Unknown Thermocouple Types Using Similarity Factor Measurement

 

 1Seshu k. Damarla and 2 Palash Kundu

1 Department of Chemical Engineering, National Institute of Technology,

Rourkela-769008, Orissa, India

2 Correspondence Author: Reader, Electrical Engineering Department, Jadavpur University,

Kolkata-700032, India

E-mail: seshu.chemical@gmail.com, kundupalash204@yahoo.co.in

 

 

Received: 20 November 2010  /Accepted: 24 January 2011   /Published: 28 January 2011

 

Abstract: In contrast to classification using PCA method, a new methodology is proposed for type identification of unknown thermocouple. The new methodology is based on calculating the degree of similarity between two multivariate datasets using two types of similarity factors. One similarity factor is based on principle component analysis and the angles between the principle component subspaces while the other is based on the Mahalanobis distance between the datasets. Datasets containing thermo-emfs against given temperature ranges are formed for each type of thermocouple (e.g. J, K, S, T, R, E, B and N type ) by experimentation are considered as reference datasets. Datasets corresponding to unknown type are captured. Similarity factor between the datasets one of which being the unknown type and the other being each known type are compared. When maximum similarity factor occurs, then the class of unknown type is allocated to that of known type.

 

Keywords: PCA based similarity, Distance based similarity, Similarity Factor

 

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