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Statistical modeling methods have been used for estimating difficult-to-measure quality variables by using easy-to-measure process variables. The estimation performance of a statistical model depends on the quality and quantity of data. To build a better model when the amount of the data is limited, joint-Y partial least squares (JY-PLS) was proposed. JY-PLS can concurrently use the data from the...
The measurement of ratio of product recovery in industrial methanol distillation is of high economic importance and represent a key performance index (KPI) of the distillation unit. In current operations, the product recovery of many industrial distillation units are not actively monitored, instead back calculated from daily production reports. The active monitoring of product recovery can be a costly...
The viscoelastic behavior of the molding compound in fine pitch encapsulated electronic packages has a significant impact on component warpage and SMT assembly reliability. This is particularly true for the thin or ultra-thin (such as fan-out) packages used in mobile handsets and tablets, where process-induced warpage behavior is exacerbated by a larger molding volume and higher density of Cu trace...
Artillery units in the NATO armies have to be able to perform firing data calculations using standardized meteorological messages METB3 for manual calculations and METCM for computerized calculations. Artillery of some armies (especially of the former Warsaw pact) cannot process these messages because of some their weapon systems, firing tables and implemented tabular atmosphere model. They are still...
In a freeze-drying process for pharmaceuticals it is necessary to monitor product temperature and to identify the ending point of the ice sublimation stage. Besides, it can be worthwhile estimating the heat and mass transfer coefficients, in such a way that a mathematical model can be used to optimize in-line (or off-line, in a successive run) the process. Both results can be achieved using the temperature...
In this paper, a solution for the mathematical modeling and control of the seamless steel pipes heat-treating process is proposed, considering as case study the annealing procedure. The proposed mathematical modeling procedure is based on analytical identification. In order to implement the proposed temperature control structure, the neural networks are used for learning the behavior of the system...
It is common in engineering to model time-dependent variables as diffusion process represented by stochastic differential equations. This is usually helpful when empirical datasets describing time evolution of variables are available. This helps in accurate estimation of parameters of the stochastic differential equation which describes the dynamic system. Additionally, it helps in characterization...
An issue of the paper is a summary of existing research of material properties changes of a passive Armor, which depends on a temperature. New quantities for an evaluation of thermal effect on a passive armor material are described there; especially a relative volume and a coefficient of thermal change of an imprint's depth. Direction of other research is indicated in a conclusion.
AlGaN/GaN based high electron mobility transistors (AG-HEMTs) are strong candidates for the future high power and high frequency applications. But the formation of hot-spots and high temperature in these localized regions can limit their applications due to performance degradation and break-down. Understanding the underlying thermal transport processes will be an important step towards solving heat...
The mechanical behavior of lead free solders is highly dependent on the testing temperature. Previous investigations on mechanical characterization of conventional and doped lead free SAC solders have mainly emphasized stress-strain and creep testing at temperatures from 25 to 125 °C. However, solders are exposed to very high temperatures from 125–200 °C in several harsh environment applications including...
State of Charge (SoC) is the most important parameter to be estimated on a Battery Management System (BMS). Improper SoC management can cause faster battery degradation, reduce its operational lifetime and, on extreme cases of overcharge, it may lead to an explosion. In addition, batteries are complex electrochemical systems, and both the electrical components and chemical reactions vary significantly...
The paper deals with an aircraft twin-spool single-jet engine equipped with a hydro-mechanical indirect action fuel control unit. From aircraft pilot's point of view, engine's control (or command) means its power lever (throttle) displacement, proportional to the desired thrust level. Considering the engine as controlled object and its thrust the most important operation effect, from the multitude...
Thermal fields in film deposition chambers critically control the final uniformity of the film thickness in semiconductor manufacturing. Constructing simple, efficient and yet accurate enough models of the temperature fields is therefore crucial in effective fault detection and eventually, for film thickness uniformity controls. We explored one decomposition method of the temperature fields using...
A newly developed low-cost, hand-held calorimeter is reported for the measurement of energy expenditure (EE) from human breath. The prototype device uses oxygen (low-power electrochemical) and carbon dioxide (low-power novel NDIR) sensors to calculate the energy burned over a given period. Knowledge of the energy required by the body is critical to healthcare applications (to ensure adequate feeding...
In this paper, an Advanced Process Control system based on a two-layer linear Model Predictive Control strategy is proposed. The control system aims at optimizing a pusher type billets reheating furnace, located in an Italian steel plant. A first principles nonlinear model has been developed, in order to obtain estimations of billets temperature inside the furnace. A Linear Parameter-Varying model...
In this paper the approach on the base bank of fuzzy diagnostic models for fault detections is proposed on example with coal mill used at a power plant. A model bank is constructed to reproduce behaviour of the normal and fault states. Fuzzy reasoning and basic statistical methods are combined to identify changes in normal model residuals. Fault models are fuzzy rules for describing abnormalities...
The aim of this paper is to describe rapid design and realization of a embedded controllers by using MATLAB toolboxes like Simulink Coder. The Simulink Coder generates and executes C and C++ code from Simulink diagrams, Stateflow charts, and MATLAB functions. An automatic code generation enables implementation of Simulink controller models directly to the PLC without manual coding. The generated source...
Since it was developed, the Michelson interferometer underwent considerable improvements compared to its original design. Nowadays, the interferometer is widely used in systems where there is a need to measure accurately lengths of a few nanometers. The improvements are largely credit to a better modeling of the physical phenomena causing impact in the measurement result. This paper aims to develop...
Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging development of smart grid technologies is posing new challenges as well as opportunities to STLF. Load data, collected at higher geographical granularity and frequency through thousands of smart meters, allows us to build...
It is important to have practical methods for constructing a good mathematical model for a building's thermal system for energy audits, retrofit analysis and advanced building controls, e.g. model predictive control. Identification approaches based on semi-physical model structures are popular in building science for those purposes. However conventional gray box identification approaches applied to...
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