Error analysis about on-line icing-monitoring device based on weighing method

Author(s):  
Liu Hong ◽  
Wang Tianzheng ◽  
Jiang Min
Author(s):  
Fred D. Lang

The Input/Loss Method is a unique process which allows for complete thermal understanding of a power plant through explicit determinations of fuel chemistry including fuel water and mineral matter, fuel heating (calorific) value, As-Fired fuel flow, effluent flow, boiler efficiency and system heat rate. Input consists of routine plant data and any parameter which effects system stoichiometrics, including: Stack CO2, Boiler or Stack O2, and, generally, Stack H2O. It is intended for on-line monitoring of coal-fired systems; effluent flow is not measured, plant indicated fuel flow is typically used only for comparison to the computed. The base technology of the Input/Loss Method was documented in companion ASME papers: Parts I, II and III (IJPGC 1998-Pwr-33, IJPGC 1999-Pwr-34 and IJPGC 2000-15079/CD). The Input/Loss Method is protected by US and foreign patents (1994–2004). This Part IV presents details of the Method’s ability to correct any data which effects system stoichiometrics, data obtained either by direct measurements or by assumptions, using multi-dimensional minimization techniques. This is termed the Error Analysis feature of the Input/Loss Method. Addressing errors in combustion effluent measurements is of critical importance for any practical on-line monitoring of a coal-fired unit in which fuel chemistry is being computed. It is based, in part, on an “L Factor” which has been proven to be remarkably constant for a given source of coal; and, indeed, even constant for entire Ranks. The Error Analysis feature assures that every computed fuel chemistry is the most applicable for a given set of system stoichiometrics and effluents. In addition, this paper presents comparisons of computed heating values to grab samples obtained from train deliveries. Such comparisons would not be possible without the Error Analysis.


2014 ◽  
Vol 971-973 ◽  
pp. 928-933 ◽  
Author(s):  
Le Feng Cheng ◽  
Lin Fei Yin ◽  
Bin Zhou ◽  
Jing Jiang ◽  
Tao Yu

A power quality on-line monitoring device based on two CPUS is designed and implemented in this paper, which separated the data analysis from the peripheral control completely, used CPLD (Complex Programmable Logic Device) to generate control timing of peripheral devices, made full use of the DSP, so as to meet the requirements of power quality: monitoring precision and real time. The paper firstly introduces the monitor's sampling circuit, communication module circuit, storage module circuit and the flow chart of software. Then, the functions, features and designations of each module are described in detail.


2012 ◽  
Vol 424-425 ◽  
pp. 665-668
Author(s):  
Wei Shao ◽  
Deng Xin Hua

Metal parts with large and complicated curved surfaces used widely have some characteristics such as a great volume, a big area, distorting easily. It is very difficult to measure and evaluate accurately the parts. Taking measurement of the parts as a purpose, a new measurement method called On-Line Shape Measurement System (OSMS) is put forward.Error analysis of curves is a requirement to assure quality and to reduce manufacturing costs and rework. This paper proposes a new approach and algorithms for the error analysis of curves.the system applies a robust mathematic model, Implicit polynomials (IP), to construct the model of the test-points. Once the CAD model is adjusted, it is compared with input to reveal the errors between their shapes. To accomplish this task a new shape matching algorithm is developed. Experimental results on error analysis of a variety of the machined metal skin of aircraft are reported to show the validity of the proposed methodology.


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