This paper addresses the problem of detecting, discriminating, and reconstructing sensor faults for nonlinear systems with known model structure but uncertainty in the parameters of the process. The convenience of the proposed technique lies in the fact that historical operational data and/or a priori fault information is not required to achieve accurate fault reconstruction except for fixed, s...

We describe the Metro toolkit, which supports software modelling and analysis for requirements notations that have configurable semantics. Metro is based on a formalism, called template semantics, which structures the operational semantics of a family of notations as a predefined parameterized template that is instantiated with user-provided parameter values. Thus, the semantics of a single not...

In operational modal analysis process of the rotating machinery, it is always difficult to adopt usual modal analysis methods in parameter correction because of the modal parameter identification problems caused by harmonic modes. A technique to distinguish harmonic and structural modes is proposed here, that is, through frequency domain decomposition (FDD) of the vibration signals power spectr...

A dynamic modeling approach was used to estimate in-situ model parameters, which describe the degradation of methyl tert-butyl ether (MTBE) in a laboratory packed bed reactor. The measured dynamic response of MTBE pulses injected at the reactor's inlet was analyzed by least squares and parameter response surface methodologies. Response surfaces were found to be statistically significant and thu...

Lumped parameter hydrologic models are frequently used for operational streamflow forecasting in the United States. With the deployment of the Weather Surveillance Radar 1988 Doppler (WSR88D), many hydrologists will use radar-rainfall data as input to these models. WSR-88D precipitation products can be used in a variety of ways (Shedd and Fulton, 1993; Lindsey, 1993). In this paper, we examine ...

The feasible solutions provided by a multi-objective evolutionary algorithm (MOEA) in the optimal sizing of analog integrated circuits (ICs) can be very sensitive to process variations. Therefore, to select the optimal sizes of metal–oxide–semiconductor field-effect-transistors (MOSFETs) but with low sensitivities, we propose to perform multi-parameter sensitivity analysis. However, since MOEAs...

In this paper, we study amorphous silicon thin-lmtransistor (TFT) degradation under bias stress effect. To model threshold voltage shift with bias stress effect, fabricated samples are measured for I-V data with bias stress in variations of temperature. Rensselaer Polytechnic Institute (RPI) model is thus adopted to extract model parameters, such as the flat band voltage (VFB), the characteris...

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Six Sigma is a strategy for achieving process improvement and operational excellence within an organization. Decisions on critical parameter selection in analysis phase are always very crucial; it plays a primary role in successful execution of Six Sigma project and for productivity improvement in manufacturing environment and involves the imprecise, vague and uncertain information. Using a cas...

Different manufacturing enterprises use regularly scheduling algorithms in order to help meeting demands over time and reducing operational costs. Nowadays, for a better useofresources and manufacturingin accordance withcustomer needs and given the level ofcompetitionbetweencompanies, employing asuitablescheduling programhasa double importance. Conventional productionmethods are constantly subs...