Method for assigning safety integrity level (SIL) during design of safety instrumented systems (SIS) from database

Feng, Wei; Yang, Ou; Zhang, Ruibo; Shi, Lei

doi:10.1016/j.jlp.2016.09.020

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Moreover, the MAE and RMSE of the PSO-LSTM model at all times are smaller than the LSTM model, and R 2 is closer to 1, indicating that the PSO-LSTM model has a better prediction effect and higher prediction accuracy. It can be seen from Table 3-8 that compared with the average value of each error evaluation index of the LSTM model, the MAE of the PSO-LSTM model is reduced by 30.6%, the RMSE is reduced by 25%, and the 2 R is increased by 9.2%, indicating that the overall performance of the PSO-LSTM model is excellent. It is based on the LSTM model, and can realize the forecast demand to realize the gasification furnace temperature forecast.…”

Section: Discussionmentioning

confidence: 99%

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Research on Multi-step Mixed Predictiom Model of Coal Gasifier Furnace Temperature Based on Machine Learning

Zhao

Han

2022

J. Phys.: Conf. Ser.

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In order to ensure the safe and stable operation of the coal gasifier, it is particularly important to study a new and reliable method for predicting the temperature of the gasifier. In this paper, the coal gasifier furnace temperature prediction is transformed into a time series prediction problem, and according to the non-linear characteristics of the gasifier furnace temperature data set, the LSTM (Long Short-Term Memory) model in the machine learning algorithm is selected for the gasifier furnace.Then use the PSO (Particle Swarm optimization) algorithm to optimize the hyperparameters of the model. The results show that the LSTM model is feasible but the accuracy is slightly lacking. The prediction accuracy based on the POS-LSTM model is significantly improved. It is of great significance to accurately predict the temperature of the gasifier.

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Section: Discussionmentioning

confidence: 99%

“…The furnace temperature time series are respectively moved backward by 1-5 time steps, and then filled into five columns to form the output data. The input format of the model is [sample number, input time step, characteristics], and the output format is [sample number, output time step] [2] .…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-step Mixed Predictiom Model of Coal Gasifier Furnace Temperature Based on Machine Learning

Zhao

Han

2022

J. Phys.: Conf. Ser.

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“…SIL is a way of indicating the acceptable failure rate of a particular safety function [2,3]. SIL parameters include sensors on devices related to temperature, pressure, flow, and level in the device.…”

Section: Introductionmentioning

confidence: 99%

Safety Integrity Level Assessment at Uranium Evaporator and Deposition Vessel in Non Nuclear Reactor Installations

Oktavianto,

Kundari,

Saputra

et al. 2023

urania

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The operation of non-reactor nuclear installations that use nuclear material in the process must be ensured safely during the process. One of the assessments of the safety level of the protection system that has been owned by the installation is using the Safety Integrity Level (SIL) which assesses the safety level of the protection system based on the value of the risk reduction factor that the protection system can achieve. The uranium evaporator and deposition vessel at the Experimental Fuel Element Installation (EFEI) is one of the installations that uses nuclear material in the process so it is necessary to assess the SIL of these 2 vessels. The piping and instrumentation diagram (P&ID) is used to determine the SIL value and Safety Instrumented System (SIS) component are installed in evaporator and deposition vessel. Maintenance data and OREDA (Offshore Reliability Data) are used to determine the failure rate. After knowing and determining the installed SIS components, then determining the architecture vote of the Safety Instrumented Function (SIF) based on the P&ID diagram, so that it can be known that the installed SIS uses vote 1oo1, 1oo2, 1oo3, or the appropriate vote. The installed SIF architecture vote will determine the equation used to calculate the Probability Failure on Demand (PFD). The total PFD obtained is adjusted to the SIL table to find out what SIL level the installed protection system is at. The value of the safety level of the protection system with SIL assessment in the evaporator vessel obtained 2 protection systems with SIL values of level 2 all and in the deposition vessel obtained 2 protection systems with SIL values of level 1 and level 2. The SIL value in the evaporator and deposition vessel analyzed has not reached level 3 or 4, so it is necessary to add SIF to the SIS protection system to increase the SIL value until the SIL value is obtained between level 3 or 4 because safety in the operation of non-reactor nuclear installations is absolute.Keywords: Non-Reactor Nuclear Installations, PFD, SIF, SIL, SIS

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A case study on safety integrity level analysis for shale gas station

Yang

Huang

et al. 2021

J Mech Sci Technol

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Method for assigning safety integrity level (SIL) during design of safety instrumented systems (SIS) from database

Cited by 8 publications

References 12 publications

Research on Multi-step Mixed Predictiom Model of Coal Gasifier Furnace Temperature Based on Machine Learning

Research on Multi-step Mixed Predictiom Model of Coal Gasifier Furnace Temperature Based on Machine Learning

Safety Integrity Level Assessment at Uranium Evaporator and Deposition Vessel in Non Nuclear Reactor Installations

A case study on safety integrity level analysis for shale gas station

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