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Noise filtering for accuracy improvement of conveyor belt type dynamic weighing systems

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dc.contributor.advisor Pathirana CD
dc.contributor.advisor Karunasinghe N
dc.contributor.author Balasooriya BMAN
dc.date.accessioned 2022
dc.date.available 2022
dc.date.issued 2022
dc.identifier.citation Balasooriya, B.M.A.N. (2022). Noise filtering for accuracy improvement of conveyor belt type dynamic weighing systems [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/20493
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20493
dc.description.abstract Conveyor belt-type checkweigher machines are important part of modern production factories. They are used to determine the weight of the different types of products without stopping the products on the weighing conveyor. The main challenge of dynamic weighing system is providing high measurement accuracy, while the checkweigher machine is running at high conveyor belt speeds. In this paper different types of noises such as electronic noises, motor vibration noises and noises due to natural frequencies are analyzed in frequency domain and it is discussed how digital filtering such as Notch filter, FIR lowpass, IIR lowpass are effective to obtain the required accuracy level. Then to achieve further accuracy level, system is modelled using first principles as spring-mass system as well as black box model. Finally, the selected model is used to apply Kalman filter. Then Kalman is selected as the best filtering method and applied to the real system and simulation and experimental results & conclusions are discussed in detailed. en_US
dc.language.iso en en_US
dc.subject CHECK WEIGHER en_US
dc.subject FREQUENCY ANALYSIS en_US
dc.subject MODEL BASED FILTERING en_US
dc.subject NOTCH FILTER en_US
dc.subject FIR LOWPASS en_US
dc.subject IIR LOWPASS en_US
dc.subject KALMAN FILTER en_US
dc.subject BLACK BOX MODEL en_US
dc.subject INDUSTRIAL AUTOMATION- Dissertation en_US
dc.subject ELECTRICAL ENGINEERING - Dissertation en_US
dc.title Noise filtering for accuracy improvement of conveyor belt type dynamic weighing systems en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc. in Industrial Automation en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.date.accept 2022
dc.identifier.accno TH4784 en_US


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