Multi-mode systems can operate in different modes, leading to large numbers of different dynamics. Consequently, applying traditional structural diagnostics to such systems is often untractable. To address this challenge, we present a multi-mode diagnostics algorithm that relies on a multi-mode extension of the Dulmage-Mendelsohn decomposition. We introduce two methodologies for modeling faults, either as signals or as Boolean variables, and apply them to a modular switched battery system in order to demonstrate their effectiveness and discuss their respective advantages.

翻译：多模式系统可以在不同模式下运行，导致大量不同的动态行为。因此，将传统的结构性诊断方法应用于此类系统往往难以处理。为解决这一挑战，我们提出了一种基于Dulmage-Mendelsohn分解的多模式扩展的多模式诊断算法。我们引入了两种故障建模方法（将故障建模为信号或布尔变量），并将其应用于模块化切换电池系统，以展示其有效性并讨论各自的优势。