Yukio Fukayama

An adaptive State estimator for pulverizer control using moments of particle size distribution

An adaptive state estimator for pulverizers consisting of blending, grinding, and classifying processes has been developed in order to improve control of pulverized-coal-fired power stations. Though coal flow and non-Gaussian particle size distributions in the processes are mutually related, the estimator is able to efficiently simulate flow and normalized moments of the distributions with a state vector. The estimator also identifies coal grindability for adapting to variation in coal characteristic in parallel with the process simulation. The accuracy of the adaptive estimation and the effectiveness in improving the load-swinging performance have been validated at a 1000-MWe class power station.

A modified Wiener filter suitable for separation of individual instrumental sounds in monaural music signals

A FIR filter which is suitable for distilling sound of a part played by a particular instrument from a music ensemble is discussed in this report. The filter separates a monaural music signal into individual tones of every pitch with a particular timbre, the combination of which provides melodies played by an instrument. A mixture of strongly correlated signals such as the same pitch tones by different instruments can be processed by the proposed FIR filter to separate them which is modified from the discrete-time Wiener filter combined with a window and an evaluation method of current statistics of the mixture in the frequency-domain.