title: Calibration transfer between electronic nose systems for rapid in situ measurement of pulp and paper industry emissions.
abstract: Electronic nose systems when deployed in network mesh can effectively provide a low budget and onsite solution for the industrial obnoxious gaseous measurement. For accurate and identical prediction capability by all the electronic nose systems, a reliable calibration transfer model needs to be implemented in order to overcome the inherent sensor array variability. In this work, robust regression (RR) is used for calibration transfer between two electronic nose systems using a Box-Behnken (BB) design. Out of the two electronic nose systems, one was trained using industrial gas samples by four artificial neural network models, for the measurement of obnoxious odours emitted from pulp and paper industries. The emissions constitute mainly of hydrogen sulphide (H2S), methyl mercaptan (MM), dimethyl sulphide (DMS) and dimethyl disulphide (DMDS) in different proportions. A Box-Behnken design consisting of 27 experiment sets based on synthetic gas combinations of H2S, MM, DMS and DMDS, were conducted for calibration transfer between two identical electronic nose systems. Identical sensors on both the systems were mapped and the prediction models developed using ANN were then transferred to the second system using BB-RR methodology. The results showed successful transmission of prediction models developed for one system to other system, with the mean absolute error between the actual and predicted concentration of analytes in mg L(-1) after calibration transfer (on second system) being 0.076, 0.1801, 0.0329, 0.427 for DMS, DMDS, MM, H2S respectively.
authors.affiliation: CSIR-National Environmental Engineering and Research Institute, Nagpur, India; Department of Instrumentation and Electronics Engineering, Jadavpur University, Kolkata, India.
authors.forename: Sharvari
authors.initials: S
authors.lastname: Deshmukh
authors.affiliation: CSIR-National Environmental Engineering and Research Institute, Nagpur, India.
authors.forename: Kalyani
authors.initials: K
authors.lastname: Kamde
authors.affiliation: Center for Development of Advance Computing, Kolkata, India.
authors.forename: Arun
authors.initials: A
authors.lastname: Jana
authors.affiliation: CSIR-National Environmental Engineering and Research Institute, Nagpur, India.
authors.forename: Sanjivani
authors.initials: S
authors.lastname: Korde
authors.affiliation: Department of Instrumentation and Electronics Engineering, Jadavpur University, Kolkata, India.
authors.forename: Rajib
authors.initials: R
authors.lastname: Bandyopadhyay
authors.affiliation: Center for Development of Advance Computing, Kolkata, India.
authors.forename: Ravi
authors.initials: R
authors.lastname: Sankar
authors.affiliation: Center for Development of Advance Computing, Kolkata, India. Electronic address: nabarun.bhattacharya@cdac.in.
authors.forename: Nabarun
authors.initials: N
authors.lastname: Bhattacharyya
authors.affiliation: CSIR-National Environmental Engineering and Research Institute, Nagpur, India. Electronic address: ra_pandey@neeri.res.in.
authors.forename: R A
authors.initials: RA
authors.lastname: Pandey
keywords: Artificial neural network; Box–Behnken design; Calibration transfer; Electronic nose; Reduced sulphur compounds; Robust regression