Manabu Kano

TL;DR: The achievements of the present work are the development of a new method that can cope with qualitative quality information and relate operating conditions to product quality or product yield, the simultaneous analysis of multiple processing units, and the successful application results in the steel industry.

TL;DR: In this paper, a new statistical process control method based on Independent Component Analysis (ICA) is proposed, and its fault-detection performance is evaluated and compared with that of the conventional multivariate statistical process Control (cMSPC) method using principal component analysis by applying those methods to monitoring problems of a simple four-variable system and a continuous-stirred-tank-reactor process.

TL;DR: In this article, a new method for constructing soft-sensors based on a JIT modeling technique is proposed, referred to as correlation-based JIT modelling (CoJIT), the samples used for local modeling are selected on the basis of the correlation among measured variables and the model can adapt to changes in process characteristics.

TL;DR: In this article, a survey of the state-of-the-art in chemical process control in Japan is presented, where three central pillars of process control are surveyed: PID control, conventional advanced control, and linear/nonlinear model predictive control.

TL;DR: In this paper, two advanced methods, moving principal component analysis (MPCA) and DISSIM, have been proposed to improve the performance of multivariate statistical process control (MSPC).