@inproceedings{763dab3ff6a34c7d97bf223e82167cae,
title = "Estimating parameters of loose material stream using vibration measurements",
abstract = "The objective of the research is to develop a cheap and reliable technique for online measurement of loose material granularity and flow. Such data is very important to efficiently control industrial milling in order to optimize energy consumption and product quality. For the measurement system to meet industrial requirements concerning harsh environmental operating, like dust and attrition, the measurement should be contactless. A review of existing techniques of granularity and flow measurement is presented in this paper. Then, vibration sensing is proposed as the one meeting all requirements. Appropriate laboratory rig was assembled and the material was accordingly prepared for experiments. A signal processing algorithm extending the idea of spectrum subtraction has been developed. It is demonstrated in the paper that information about the grain size and material flow is stored in the signal and can be used for control.",
keywords = "digital signal processing, grain size evaluation, solids flow measurements, vibration measurements",
author = "Oliwia Krauze and Marek Pawe{\l}czyk",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th IEEE International Carpathian Control Conference, ICCC 2016 ; Conference date: 29-05-2016 Through 01-06-2016",
year = "2016",
month = jun,
day = "27",
doi = "10.1109/CarpathianCC.2016.7501127",
language = "English",
series = "Proceedings of the 2016 17th International Carpathian Control Conference, ICCC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "378--383",
editor = "Igor Podlubny and Ivo Petras and Jan Kacur",
booktitle = "Proceedings of the 2016 17th International Carpathian Control Conference, ICCC 2016",
address = "United States",
}