Time-adaptive Expectation MaximizationLearning Framework for HMM basedData-driven Gas Sensor Calibration [Elektronisk resurs]

• In this paper, data-driven self-calibration al- gorithms for the low-cost gas sensors are designed. The sensor measurement errors happen due to the imperfect compensation for the variation of sensor component be- havior that is caused by changing of environmental fac- tors. To calibrate the sensors, the hidden Markov model is utilized to characterize the statistical dependency between the environmental factors and the variation of sensor com- ponent behavior. Considering the time-varying property of this dependency, a time-adaptive learning framework is further designed to update the hidden Markov model so that the time-varying drift process can be better tracked over a long term. More specifically, a time-adaptive expectation maximization learning approach is proposed to efficiently update the hidden Markov model parameters. A closed form of the convergence rate of this time-adaptive learning approach is derived, which provides a theoretical guaran- tee on the time efficiency as well as the computational efficiency. The performance of the scheme is illustrated in numerical experiments utilizing real data, which shows that long-term stable calibration performance can be achieved. 

Ämnesord

Engineering and Technology  (hsv)

Electrical Engineering, Electronic Engineering, Information Engineering  (hsv)

Other Electrical Engineering, Electronic Engineering, Information Engineering  (hsv)

Teknik och teknologier  (hsv)

Elektroteknik och elektronik  (hsv)

Annan elektroteknik och elektronik  (hsv)

Signal Processing  (hsv)

Signalbehandling  (hsv)

Datalogi  (kth)

Computer Science  (kth)

Informations- och kommunikationsteknik  (kth)

Information and Communication Technology  (kth)

SRA - ICT  (kth)

SRA - Informations- och kommunikationsteknik  (kth)

Electrical Engineering  (kth)

Elektro- och systemteknik  (kth)

Genre

government publication  (marcgt)

Indexterm och SAB-rubrik

Data-driven calibration

hidden Markov model

expectation maximization

NDIR gas sensor