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.

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

An introduction to heat transfer

Electric and hybrid electric vehicles (EV/HEVs) have attracted considerable interest among automobile manufactures worldwide due to their advantages of better fuel economy. To guarantee safe, clean and reliable operation of electric drive systems, it is imperative to develop reliable and robust diagnostic schemes so that appropriate corrective actions can be taken in case a component or subsystem fail to operate normally. This paper proposes a diagnostic scheme for permanent magnet synchronous motor (PMSM) drives in EV/HEV applications. The proposed strategy uses two generalized observers to detect and isolate current, speed, and rotor position sensor faults in a PMSM drive. Since in real driving cases, the load torque is usually unknown due to unexpected road disturbance, the proposed diagnostic scheme uses an Unknown Input Observer (UIO) to estimate the load torque. The diagnostic algorithm is validated in Matlab/Simulink using the Ohio State University EcoCAR as testbed. The simulation results show that the proposed scheme is effective in detecting and isolating various sensor faults under road disturbance.Copyright © 2014 by ASME

Fault Diagnosis for PMSM Drive System in Electric Vehicle

Powertrain Diagnostics Using Nonlinear Sliding Mode Observer

Diagnosis of Exhaust Emissions Control Systems During the E.P.A.Tailpipe Inspection Program

http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac2002/data/content/02647/2647.pdf

A polytopic system approach for gain scheduled control of a diesel engine

Enhancing driving safety is a continuing effort towards safer transportation in the automotive industry. It is generally accepted that one of the benefits brought about by increasing levels of automation in vehicles is increased safety. In this paper we propose an automated emergency maneuver controller for safely and stably operating the vehicle at its handling limit in emergency situations. This paper explores the possible scenarios where such an ability is critical to keep an autonomous vehicle safe in an emergency scenario, by implementing a mode switching control design that successfully enhances safety in a driving scenario that would have caused an accident had the vehicle been operated by traditional vehicle control algorithms. The proposed mode switching control design uses geometric and kinematic criteria to determine the mode of operation for a vehicle, and applies tailored optimal control in each mode to minimize the safety risk in a finite planning horizon. The proposed method outperforms two control baselines including a drift sustaining controller in simulation by having the additional flexibility in following a challenging direction-changing path at considerable speed.

Giorgio Rizzoni

Papers

Fault Diagnosis for PMSM Drive System in Electric Vehicle

Powertrain Diagnostics Using Nonlinear Sliding Mode Observer

Diagnosis of Exhaust Emissions Control Systems During the E.P.A.Tailpipe Inspection Program

A polytopic system approach for gain scheduled control of a diesel engine

Collision Avoidance with Transitional Drift Control