Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

Bond Graph Methods for Control and Diagnosis

Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis brings together a structured, engineering-focused view of how bond graphs can support control design, fault detection, fault tolerance, and prognostic reasoning. Wolfgang Borutzky frames the subject as more than a modelling technique: it is a way to read the structure of a system and use that structure to answer practical questions about observability, controllability, parameter estimation, and health assessment.

The book is especially appealing if you like methods that stay close to the physics of a system. Instead of treating models as abstract equations first, it works from the bond graph representation and shows how useful information can be extracted from it. That makes the material relevant across mechatronics, multibody systems, hydraulics, and other multidisciplinary engineering settings.

What the Book Covers

• structural properties of bond graphs for model-based control
• fault diagnosis methods, including signal preprocessing and model-based isolation
• uncertainty-aware diagnosis with observers and filtering methods
• sensor and actuator fault representation
• failure prognostic approaches based on both data-driven and model-based ideas
• hybrid bond graph approaches to degradation estimation and remaining useful life analysis

A Practical, Research-Informed Perspective

Borutzky’s emphasis is not limited to theory. The book draws on the state of the art and links bond graph modelling to real diagnostic and prognostic workflows, including analytical redundancy relations, Kalman filtering, particle filtering, and degradation modelling. That mix makes it a strong fit for readers who want to understand how bond graph ideas translate into working methods rather than staying at the level of formalism alone.

Who Will Find It Useful

This title is a natural fit for engineering students, researchers, and industry practitioners working in modelling, simulation, control, diagnostics, and reliability-oriented analysis. Readers with an interest in cyber-physical systems, hybrid modelling, and system health management will find plenty here to study and apply.

Why It Stands Out

Many books cover control or diagnosis separately. This one brings them together through bond graphs and adds failure prognosis into the same conversation. The result is a focused, technically grounded monograph that treats modelling, monitoring, and long-term health assessment as connected problems rather than isolated topics.