Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures
Lithium (Li)-ion batteries have become the mainstream energy storage solution for many
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …
Fault diagnosis for electric drive systems of electrified vehicles based on structural analysis
Functional safety is of great importance for electric and hybrid electric vehicles (EV/HEVs).
One way to improve functional safety of EV/HEVs is to develop reliable and robust onboard …
One way to improve functional safety of EV/HEVs is to develop reliable and robust onboard …
Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications
The battery sensors fault diagnosis is of great importance to guarantee the battery
performance, safety and life as the operations of battery management system (BMS) mainly …
performance, safety and life as the operations of battery management system (BMS) mainly …
Model-based diagnosis through structural analysis and causal computation for automotive polymer electrolyte membrane fuel cell systems
The present paper proposes an advanced approach for Polymer Electrolyte Membrane Fuel
Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic …
Cell (PEMFC) systems fault detection and isolation through a model-based diagnostic …
Data-driven open-set fault classification of residual data using Bayesian filtering
D Jung - IEEE Transactions on Control Systems Technology, 2020 - ieeexplore.ieee.org
Data-driven fault classification in industrial applications is complicated by unknown fault
classes and limited training data. In addition, different faults can have similar effects on …
classes and limited training data. In addition, different faults can have similar effects on …
[HTML][HTML] Real-time detection of incipient inter-turn short circuit and sensor faults in permanent magnet synchronous motor drives based on generalized likelihood ratio …
This paper presents a robust model-based technique to detect multiple faults in permanent
magnet synchronous motors (PMSMs), namely inter-turn short circuit (ITSC) and encoder …
magnet synchronous motors (PMSMs), namely inter-turn short circuit (ITSC) and encoder …
Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges
Model-based approaches have played a significant role in automotive electronics for diesel
engines and aftertreatment systems, while they also have some drawbacks that cannot be …
engines and aftertreatment systems, while they also have some drawbacks that cannot be …
Fault detection and isolation for lithium-ion battery system using structural analysis and sequential residual generation
This paper presents a systematic methodology based on structural analysis and sequential
residual generators to design a Fault Detection and Isolation (FDI) scheme for nonlinear …
residual generators to design a Fault Detection and Isolation (FDI) scheme for nonlinear …
Life cycle performance estimation and in-flight health monitoring for gas turbine engine
F Lu, W Zheng, J Huang… - Journal of …, 2016 - asmedigitalcollection.asme.org
A long-term gas-path fault diagnosis and its rapid prototype system are presented for on-line
monitoring of a gas turbine engine. Toward this end, a nonlinear hybrid model-based …
monitoring of a gas turbine engine. Toward this end, a nonlinear hybrid model-based …
Fault tolerant position-mooring control for offshore vessels
Fault-tolerance is crucial to maintain safety in offshore operations. The objective of this
paper is to show how systematic analysis and design of fault-tolerance is conducted for a …
paper is to show how systematic analysis and design of fault-tolerance is conducted for a …