The purpose of detecting changes in the operating regime of a system is to identify abrupt changes from one regime to another. This paper proposes a new detection method which can detect regime change instants in sequential time series data. Our approach is based on a sensitivity study of a global model combining, with a multiplicative effect, local models describing the different operating modes without knowing their parameters. More precisely, the operating mode change detection indicator corresponds to the direction of the gradient of the global model of the system (i.e. including all its operating modes) with respect to the variables characterising the system. The proposed procedure is illustrated by the analysis of a dynamic system with several measurable inputs and outputs, which makes it possible to consider auto- and inter-redundancy relationships between inputs and outputs.

中文翻译：

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动态系统的主动模式识别

检测系统运行状态变化的目的是识别从一种状态到另一种状态的突然变化。本文提出了一种新的检测方法，可以检测序列时间序列数据中的状态变化时刻。我们的方法基于对全局模型的敏感性研究，结合乘法效应，在不知道其参数的情况下描述不同操作模式的局部模型。更准确地说，操作模式变化检测指标对应于系统的全局模型（即包括其所有操作模式）相对于表征系统的变量的梯度方向。通过对具有多个可测量输入和输出的动态系统的分析来说明所提出的程序，