Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shiqi Lai"'
Publikováno v:
Crystallography Reports. 67:871-885
Publikováno v:
Journal of Process Control. 82:44-57
Alarm floods can interfere with operators and may therefore cause or aggravate industrial accidents. A novel algorithm is proposed for pattern mining in multiple alarm floods. Unlike traditional methods which either cannot deal with multiple sequence
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 15:1883-1896
The objective of this paper is to facilitate the improvement of the control and operation of industrial facilities, by providing decision support tools. More specifically, this paper has three main contributions. First, this paper presents the defini
Publikováno v:
Journal of Process Control. 57:102-115
In industrial processes, analyzing and predicting process faults are quite important, which could help operators to take timely and effective responses to ensure process safety and prevent further losses, especially during alarm floods. Various fault
Publikováno v:
Journal of Process Control. 56:69-78
Alarm floods are serious hazards for industrial process monitoring. In this paper, we propose an online algorithm to provide early prediction of an incoming alarm flood by matching an online alarm sequence with a pattern database and conducting simil
Autor:
Tongwen Chen, Shiqi Lai
Publikováno v:
Chemical Engineering Research and Design. 117:831-839
Alarm flood is a serious hazard for industrial processes, alarm management techniques such as delay timers and dead-bands often are incapable of suppressing alarm floods because of the existence of consequence alarms. However, this problem could be h
Autor:
Tongwen Chen, Shiqi Lai
Publikováno v:
IFAC-PapersOnLine. 48:657-662
Alarm floods have always been serious hazards in industrial process monitoring since they overwhelm operators with large amount of alarm messages raised within a short period of time. In this paper, we propose an algorithm to find an optimal alignmen
Publikováno v:
CCTA
In an industrial facility, a large amount of data on the operation of the facility is collected. The data includes control variables used in monitoring and regulation, alarm variables displayed to notify operators of abnormalities, and operators' act