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Detection of equipment faults in automatically controlled processes (1996)

Rollins, Derrick K. ; Cheng, Yisun ; Chen, Victoria C. P.

Hoboken, NJ : Wiley-Blackwell

AIChE Journal 42 (1996), S. 1642-1647

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ISSN: 0001-1541

Keywords: Chemistry ; Chemical Engineering

Source: Wiley InterScience Backfile Collection 1832-2000

Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology

Notes: Based on the UBET, a new strategy for identifying faulty equipment for dynamic chemical processes under automatic control is presented. The strategy is designed to distinguish between measurement biases, controller biases, and process leaks. For illustration purposes, application is given to a level control process under pseudo-steady state. This approach was inspired by the work of Rollins and Devanathan to identify biased measurements under dynamic conditions. Advantages of this method are that it is not computationally intensive, can accurately detect and specifically identify the type of fault, and can accurately determine the time when the fault occurs.

Additional Material: 2 Ill.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1002/aic.690420616

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Performability-based fleet sizing in a material handling system (1998)

Beamon, Benita M. ; Chen, Victoria C. P.

Springer

The international journal of advanced manufacturing technology 14 (1998), S. 441-449

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ISSN: 1433-3015

Keywords: Fleet size ; Material handling ; Performability ; Regression

Source: Springer Online Journal Archives 1860-2000

Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics

Notes: Abstract This research examines the problem of determining the optimal fleet size for fixed-path material handling systems on the bases of performance and reliability, simultaneously. In this paper, a regression model is developed to study the relationships among various material handling system design characteristics (fleet size, guide path layout, and number of P/D stations, vehicle speed and failure rates, guide path intersection failure rates, and P/D station failure rates) and performability, measured as the average number of material moves between failures (MBF). The regression model highlights the important relationships between the selected factors and performability, and may be used to determine the performability-based optima for the controllable design characteristics.