摘要：AbstractThe motivation and the objective of this work are to approach fault detection and estimation issues in a unified framework. It is demonstrated that least squares techniques can be applied to solve basic fault detection and estimation problems for static and dynamic, statistic/stochastic and deterministic, linear and nonlinear processes. The solutions are optimum in the sense of maximizing fault detectability with false alarm rate lower than a predefined level.
