Title :
A modal analysis technique for the on-line particle size measurement of pneumatically conveyed pulverized coal
Author :
Hancke, Gerhard P. ; Malan, Ruan
Author_Institution :
Dept. of Electr. & Electron. Eng., Pretoria Univ., South Africa
fDate :
2/1/1998 12:00:00 AM
Abstract :
The knowledge of the particle size distribution of the pulverized coal used to fuel a fossil fuel power station is an important and useful parameter in the control and efficiency of power generation. However, to put this parameter to its most effective use, it is necessary to measure it on-line. An investigation conducted into techniques used for the on-line measurement of particle size distribution revealed a cost effective technique to achieve this goal. In short, it entails the measurement of the resonant vibrations or modes evoked in a structure when pneumatically conveyed particles collide with it. By analyzing the frequency spectra of these evoked vibrations or modes, variations in the size distribution of the particles colliding with the structure can be observed. The method is based on the principle that particles colliding with a structure cause that structure to start vibrating at its natural or resonant frequencies. Different sized particles cause different resonant frequencies of the structure to be exited or evoked. Thus, a variation in particle size distribution, will cause a variation in the amplitudes of the different resonant vibration peaks of the structure. By analyzing these peaks, variations in the particle size distribution can be monitored. Experimental testing and evaluation of the technique on a pilot plant proved it to be a very cost effective solution to the measurement problem. Extraction of the absolute particle size information from the complex vibration signals was accomplished using special parameter back-calculation techniques. A numerical/model-oriented approach using vector decomposition and a knowledge-based approach using neural networks allowed absolute particle size distribution to be determined
Keywords :
coal; computerised instrumentation; modal analysis; neural nets; particle size measurement; pulverised fuels; vibration measurement; absolute particle size distribution; absolute particle size information; complex vibration signals; cost effective technique; evoked vibrations; experimental testing; fossil fuel power station; frequency spectra; knowledge-based approach; modal analysis; neural networks; numerical model-oriented approach; on-line particle size measurement; online measurement; particle size; particle size distribution; pilot plant; pneumatically conveyed particles; pneumatically conveyed pulverized coal; resonant frequencies; resonant vibration; resonant vibration peaks; size distribution; vector decomposition; Costs; Fossil fuels; Modal analysis; Particle measurements; Power generation; Resonance; Resonant frequency; Size control; Size measurement; Vibration measurement;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on