Prediction of Particulate Loading in Exhaust from Fabric Filter Baghouses with One or More Failed Bags

Qin, W.; Dekermenjian, Manuel; Martin, R. J.

doi:10.1080/10473289.2006.10464541

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Furthermore, it allows estimating an expected range of values for the measured data, making it possible to generate immediate alarms if the deviation from the estimates is higher than a limit value. Thanks to continuous data acquisition, it is possible to monitor the trends in the measured values, correlating them to the possible failures potentially affecting the plant [2,55,56]. In particular, the filter condition is estimated based on the difference in the values measured at consecutive measurement periods (see Table 8).…”

Section: Generation Of a Model For Predicting The Service Life Of Sle...mentioning

confidence: 99%

Digital Twin Based on Historical Data and Simulation Results: Fault Detection and Estimation of the Remaining Useful Life of a Cyclone Bag Filter

2023

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This study deals with the development of a digital twin for monitoring the operating conditions of a cyclone bag filter installed on the suction system of a wheat mill. The model aims to be used for fault identification and real-time prediction of the remaining useful life (RUL). Computational fluid dynamics simulations were performed to characterize in detail the fluid-dynamic behavior of the airflow inside the system under different conditions of filter sleeve clogging. Furthermore, the simulation results were used to identify a location for the installation of a new velocity sensor that would allow, together with the pressure drop measured at the ends of the filter, monitoring of the systems’ conditions. A model able to assess the filter’s operating state, identify failure events or operating anomalies, and make a prediction of the RUL was then developed. A possible implementation of the developed model, based on the simulation results that aimed to optimize the management of the sleeve cleaning cycles was also proposed. The developed digital model was then tested on a working cycle lasting one year, in which a sleeve failure was simulated. It was shown how the simultaneous monitoring of the two identified quantities allows for the correct identification of the failure and the accurate prediction of the RUL.

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Section: Generation Of a Model For Predicting The Service Life Of Sle...mentioning

confidence: 99%

Digital Twin Based on Historical Data and Simulation Results: Fault Detection and Estimation of the Remaining Useful Life of a Cyclone Bag Filter

2023

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“…The leakage of bag filter can significantly increase the emission concentration of particles and affect the filtration performance of the whole baghouse 9 . According to a previous study, a single broken bag filter caused the filtration efficiency of whole baghouse containing 200 bags to drop from 99.9% to 85%, and the dust concentration at the outlet was about 150 times higher than the design value 10 . In addition, the particles leaked from the bag filter are mainly concentrated in particles less than 5 μm in aerodynamic diameters, 11 which belong to the inhalable particulate matter.…”

Section: Introductionmentioning

confidence: 99%

“…The simplest method is to take the bag filter out for visual checking one by one, when the abnormal PM concentration at the outlet is observed 12 . However, a normal baghouse installed at coal‐fired power plant contains up to 10,000 bag filters, 10 and thus it is difficult to perform the visual checking manually. Another method is to identify the broken bag filter by the differential pressure of baghouse 9 .…”

Section: Introductionmentioning

confidence: 99%

“…single broken bag filter caused the filtration efficiency of whole baghouse containing 200 bags to drop from 99.9% to 85%, and the dust concentration at the outlet was about 150 times higher than the design value. 10 In addition, the particles leaked from the bag filter are mainly concentrated in particles less than 5 μm in aerodynamic diameters, 11 which belong to the inhalable particulate matter. Therefore, the leakage detection for the single failed bag filter is necessary.…”

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In‐situ leakage detection of single bag filter in baghouse based on the resistance change of conductive polymer fibers

Guo

Shen

et al. 2023

J of Applied Polymer Sci

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Baghouse is effective for controlling the particles emitted from industrial production, and the in‐situ leakage detection of a single bag filter is essential for maintaining the high filtration performance of the whole baghouse. In the present study, the changes of PM emission concentration induced by the leakage of the bag filter materials was studied. The results showed that the concentration of particles in the size range of 20–1000 nm significantly increased when the bag filter sample had three holes with a diameter of ~500 μm. In order to prevent the loss induced by the leakage of bag filter, a resistance sensing method was developed to detect the early leakage of single bag filter. The effectiveness of proposed sensing method was verified by detecting the leakage of polymethyl methacrylate (PMMA) bag filter. A sensing grid made of PMMA conductive threads was embedded in the PMMA bag filter, and the resistance change (ΔR) induced by the broken of sensing grid was used as sensing signal. The ΔR of sensing grid was 3.24, 3.31, and 3.05 Ω, respectively, when the bag filter failed due to the mechanical stress, chemical corrosion, and thermal erosion. Moreover, a model was proposed to predict the numbers of broken conductive PMMA threads that could indicate the damage area of the failed bag filter.

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Experimental investigation of the mechanical properties of PTFE scrims under high temperature conditions

Shu

Shen

Liu

2021

Engineering Failure Analysis

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Prediction of Particulate Loading in Exhaust from Fabric Filter Baghouses with One or More Failed Bags

Abstract: Loss of filtration efficiency in a fabric filter baghouse is typically caused by bag failure, in one form or another.

Cited by 6 publications

References 1 publication

Digital Twin Based on Historical Data and Simulation Results: Fault Detection and Estimation of the Remaining Useful Life of a Cyclone Bag Filter

Digital Twin Based on Historical Data and Simulation Results: Fault Detection and Estimation of the Remaining Useful Life of a Cyclone Bag Filter

In‐situ leakage detection of single bag filter in baghouse based on the resistance change of conductive polymer fibers

Experimental investigation of the mechanical properties of PTFE scrims under high temperature conditions

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