The importance of evaluating valve conditions and detecting the onset of possible
malfunctions is recognized as a key issue in control performance monitoring, as they may …

This paper presents an overview of graphical methods used for robust Fault Detection and
Isolation (FDI) that can be employed for monitorability and diagnosability analysis and/or …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

Acting as a support resource for practitioners and professionals looking to advance their
understanding of complex mechatronic systems, Intelligent Mechatronic Systems explains …

Analytical redundancy relations (ARR) are symbolic equations representing constraints
between different known process variables (parameters, measurements and sources). ARR …

Model based supervision of most process engineering plants is difficult due to the
complexities arising out of the energetic couplings in the model. Bond graph modelling is a …

The main goal of the paper is to develop and implement model builder software for Fault
detection and isolation in the field of thermofluid processes. This methodology is based on …

This research result consists of two parts: one is general theory on causality assignment for
hybrid bond graph (HBG) and another is application of this concept to the quantitative fault …

Quadruped robots provide better stability and speed in comparison to other legged robots.
However, its joint actuator or sensor failure severely affects locomotion. Strategies for …

In this paper, monitoring and diagnosis of a new generation of train door mechatronic
system is proposed. Bond Graph methodology is applied to obtain a reference model. In …