A review on machinery diagnostics and prognostics implementing condition-based maintenance

There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

Robust Model-Based Fault Diagnosis for Dynamic Systems

https://users.encs.concordia.ca/~ymzhang/publications/ARC32-2-98Zhang_pp.229-252.pdf

Bibliographical review on reconfigurable fault-tolerant control systems

This paper reviews the current status and implementation of battery chargers, charging power levels, and infrastructure for plug-in electric vehicles and hybrids. Charger systems are categorized into off-board and on-board types with unidirectional or bidirectional power flow. Unidirectional charging limits hardware requirements and simplifies interconnection issues. Bidirectional charging supports battery energy injection back to the grid. Typical on-board chargers restrict power because of weight, space, and cost constraints. They can be integrated with the electric drive to avoid these problems. The availability of charging infrastructure reduces on-board energy storage requirements and costs. On-board charger systems can be conductive or inductive. An off-board charger can be designed for high charging rates and is less constrained by size and weight. Level 1 (convenience), Level 2 (primary), and Level 3 (fast) power levels are discussed. Future aspects such as roadbed charging are presented. Various power level chargers and infrastructure configurations are presented, compared, and evaluated based on amount of power, charging time and location, cost, equipment, and other factors.

/pdf/review-of-battery-charger-topologies-charging-power-levels-85yy2igx2w.pdf

Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles

An introduction to heat transfer

Interval type parametric uncertainty has received little attention in the design procedures developed for robust detection filters. This paper focuses on increasing the robustness of a classically designed detection filter ? one designed for uni-directionality of the output error residual ? by exploiting differences in the transmission to the output error residual from the fault event and the system inputs.

Design of Robust Fault Detection Filters

Velocity and energy trajectory prediction of electrified powertrain for look ahead control

..............................................................................................ii Acknowledgments...................................................................................iii Vita................................................................................................... iv List of Figures........................................................................................vi Chapters:

/pdf/analysis-of-automotive-damper-data-and-design-of-a-portable-32um4wmxod.pdf

Analysis of Automotive Damper Data and Design of a Portable Measurement System

This paper discusses an improved design of vehicle-based mobile terrain profile measurement system that
derives the terrain profile by combining information from several different sensors measuring distance,
altitudes and position. The main challenge of the measurement system design is to derive the instantaneous
dynamic motion of the platform vehicle in order to correct the direct profile elevation measurement from a
set of laser optical sensors. By processing the velocity and attitude data from an Inertial Measurement Unit
(IMU) and the absolute position data from a Global Positioning System (GPS), a Kalman Filter/Smoother
algorithm is utilized in this sensor fusion application as a key step to obtain an accurate measurement of the
platform vehicle's dynamic motion. Through the implementation of this approach, not only is a high
accuracy of measurement during short-time vehicle dynamic motion achieved, the algorithm also
eliminates a sensor drift problem associated with the long term stability of the measurement system. The
hardware and software prototype of this design have been implemented, and initial field tests show that the
methodology has achieved good measurement accuracy.

A Kalman-filter-based multi-sensor terrain profile measurement system: principle, implementation and validation

https://asmedigitalcollection.asme.org/IMECE/proceedings-pdf/doi/10.1115/IMECE2000-2346/6792081/543_1_imece2000-2346.pdf

Giorgio Rizzoni

Papers

Design of Robust Fault Detection Filters

Velocity and energy trajectory prediction of electrified powertrain for look ahead control

Analysis of Automotive Damper Data and Design of a Portable Measurement System

A Kalman-filter-based multi-sensor terrain profile measurement system: principle, implementation and validation

Model Based Diagnostics for Vehicle Systems