Dynamic mass measurement in checkweighers using a discrete time-variant low-pass filter

Pietrzak, Przemysław; Meller, Michał; Niedźwiecki, Maciej

doi:10.1016/j.ymssp.2014.02.013

Cited by 37 publications

(22 citation statements)

References 15 publications

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“…Note that, according to (15), the probability that the relative error |ε i |/m i exceeds δ i is smaller than 0.003. Fig.…”

Section: Experimental Verificationmentioning

confidence: 99%

“…The FIR-model based approach to dynamic weighing proposed in this paper will be compared with two state-of-theart model-free approaches: the subspace identification method proposed in [17] and the time-variant filtering approach described in [15] (which provides a similar accuracy as the model-based approach presented in [10]). Fig.…”

Section: Comparison With the State-of-the-art Solutionsmentioning

confidence: 99%

“…First, unlike the indirect identification-based approaches described in [15] and [17], the new method is capable of using additional data from the initial phase of weighing [t 1 , t 2 ], during which the weighed object gradually slides onto the weighing conveyor. Although the direct time-variant filtering approach presented in [15] does the same thing (it incorporates measurements from the interval [t 1 , t 3 ]), it is less flexible as the applied filter is equipped with a much smaller number of tunable parameters. Second, unlike the existing approaches, the proposed method accounts for some nonlinear features of the dynamic weighing system.…”

Section: Closing Remarksmentioning

confidence: 99%

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High-Precision FIR-Model-Based Dynamic Weighing System

Niedźwiecki

Pietrzak

2016

IEEE Trans. Instrum. Meas.

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Conveyor belt-type checkweighers are increasingly popular components of modern production lines. They are used to assess the weight of the produced items in motion, i.e., without stopping them on the weighing platform. The main challenge one faces when designing a dynamic weighing system is providing high measurement accuracy, especially at high conveyor belt speeds. The approach proposed in this paper can be characterized as a filtering scheme based on the finite impulse response model of the weighing system response. It is shown that when such a model-based filtering is applied, the attained weighing accuracy is up to four times higher than that guaranteed by the currently available state-of-the-art solutions. Index Terms-Conveyor belt-type checkweighers, dynamic mass measurement, model-based filtering.0018-9456

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“…Note that, according to (15), the probability that the relative error |ε i |/m i exceeds δ i is smaller than 0.003. Fig.…”

Section: Experimental Verificationmentioning

confidence: 99%

Section: Comparison With the State-of-the-art Solutionsmentioning

confidence: 99%

Section: Closing Remarksmentioning

confidence: 99%

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High-Precision FIR-Model-Based Dynamic Weighing System

Niedźwiecki

Pietrzak

2016

IEEE Trans. Instrum. Meas.

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“…Knowledge of moisture content plays a crucial role in all areas of the food industry and necessary to predict the behaviors of food during processing. (1)(2)(3)(4)(5)(6)(7)(8)(9) During the drying process, moisture content in food materials can be measured from the mass of water in a known mass of sample. In doing so, the moisture content is calculated by measuring the weight of a food before and after the water is removed by evaporation.…”

Section: Introductionmentioning

confidence: 99%

Simple Effective and Robust Weight Sensor for Measuring Moisture Content in Food Drying Process

Pongsuttiyakorn¹,

Sooraksa²,

Pornchalermpong³

2019

Sensors and Materials

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Measurement values using weight sensors are inherently contaminated by noise generated from electrical sources, thermal dynamics, mechanical vibration, and environmental conditions. In this paper, we present a method of correcting the accuracy of the sensors by using filtering algorithms. Two well-known methods in electrical engineering, namely, low-pass filtering and the Kalman algorithm, are applied to correct the real-time measured weight under various temperatures to determine moisture content during the food drying process. From an experiment using pineapples as the food material, the results showed the effectiveness of the application even if it has a simple design and is easy to implement. For small and medium enterprises (SMEs), the method and demonstration shown in this paper can be adopted and the proposed system is scalable for designing weight sensor systems operating in a thermal drying cabinet. About the AuthorsThadchapong Pongsuttiyakorn received his B.E. and M.E. degrees from King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand in

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“…The automatic weighing and sorting system is used in food and pharmaceutical industry where continuous and precise mass measurement of small objects is required [6,7]. The belt conveyor is used for automatic weighing to continuously feed products under measurement [8][9][10][11][12]. However the horizontal and rotational movements of belt conveyor eventually cause vibration [13], and these behave as noise source to the output of load cell sensor [14,15].…”

Section: Introductionmentioning

confidence: 99%

Noise in Load Cell Signal in an Automatic Weighing System Based on a Belt Conveyor

Choi

2017

Journal of Sensors

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Noise in load cell signal in an automatic weighing system based on a belt conveyor has been examined experimentally in time and frequency domains to enhance signal quality. The noise frequency spectrum showed nonlinearly increasing multiple resonance peaks as speed increased. The noise reduction process using noise reduction algorithm, by sharply rejecting peak noise frequency component and afterward forming optimum pulse width ratio through filter slope control using selective switching of 6 LPF stages, was used for enhanced accuracy. The effectiveness of proposed method, controlling both cutoff frequency and slope of LPF, was evaluated by feeding 50 g test mass, and this noise reduction process showed better noise filtering with enhanced accuracy than fixed cutoff frequency control method. The ratio of top to bottom pulse width showed that LPF cutoff frequency above 5 Hz had the ratio above 50% up to 80 m/min speed range.

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Dynamic mass measurement in checkweighers using a discrete time-variant low-pass filter

Cited by 37 publications

References 15 publications

High-Precision FIR-Model-Based Dynamic Weighing System

High-Precision FIR-Model-Based Dynamic Weighing System

Simple Effective and Robust Weight Sensor for Measuring Moisture Content in Food Drying Process

Noise in Load Cell Signal in an Automatic Weighing System Based on a Belt Conveyor

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