-Large scale systems, the facilities for the production of power, gas and chemical, have the complex structures. Most systems require the high reliability for the improvement of process efficiency, but it is difficult to analyze the reliability of processes with complex structures. In this study, we investigated reliability path of chemical process with k-out-of-n system by reliability block diagram(RBD) and calculated the reliability of process through the failure enumeration method of reliability path. This method should help in analyzing the reliability of k-out-of-n system.
− Even if many studies for the prevention of accidents in chemical plant have been carried out, recently more severe accidents in chemical plants have occurred continuously. These have a large potential impact and the loss of casualties and economic can vary according to the activities of early emergency responses. Thus, in order to mitigate the impact of accidents, the studies preparing the guidelines for emergency response have to be urgently needed. In this study, the current emergency responses guidelines and regulations in Korea were investigated to find out the drawbacks. And, to tackle these, BCP(Business continuity plan) method was used to improve the activities of early emergency responses as suggesting the basic components, response steps, feedback and procedures of the emergency responses.
This article proposes an efficient two-channel time delay estimation method for tracking a moving speaker in noisy and re-verberant environment. Unlike conventional linear regression model-based methods, the proposed multiple linear regression model designed in the expanded phase domain shows high estimation accuracy in adverse condition because its the Gaussian assumption on phase distribution is valid. Therefore, the least-square-based time delay estimator using the proposed multiple linear regression model becomes an ideal estimator that does not require a complicated phase unwrapping process. In addition, the proposed method is extended to the twostage recursive estimation approach, which can be used for a moving source tracking scenario. The performance of the proposed method is compared with that of conventional cross-correlation and linear regression-based methods in noisy and reverberant environment. Experimental results verify that the proposed algorithm significantly decreases estimation anomalies and improves the accuracy of time delay estimation. Finally, the tracking performance of the proposed method to both slow and fast moving speakers is confirmed in adverse environment.
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