Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
A review of prognostic and health management (PHM) methods and limitations for marine diesel engines: New research directions
H Gharib, G Kovács - Machines, 2023 - mdpi.com
Prognostic and health management (PHM) methods focus on improving the performance
and reliability of systems with a high degree of complexity and criticality. These systems …
and reliability of systems with a high degree of complexity and criticality. These systems …
Predictive maintenance: A novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries
Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based
on Condition Monitoring (CM) data and aims to predict the future states of machinery. The …
on Condition Monitoring (CM) data and aims to predict the future states of machinery. The …
Data-based decision-making in maintenance service delivery: the D3M framework
Purpose This paper aims to present a dual-perspective framework for maintenance service
delivery that should be used by manufacturing companies to structure and manage their …
delivery that should be used by manufacturing companies to structure and manage their …
A systematic simulation-based multi-criteria decision-making approach for the evaluation of semi–fully flexible machine system process parameters
Current manufacturing system health management is of prime importance due to the
emergence of recent cost-effective and-efficient prognostics and diagnostics capabilities …
emergence of recent cost-effective and-efficient prognostics and diagnostics capabilities …
SVM-based bearing anomaly identification with self-tuning network-fuzzy robust proportional multi integral and smart autoregressive model
S TayebiHaghighi, I Koo - Applied Sciences, 2021 - mdpi.com
Featured Application Condition monitoring and fault diagnosis. Abstract In this paper, the
combination of an indirect self-tuning observer, smart signal modeling, and machine …
combination of an indirect self-tuning observer, smart signal modeling, and machine …
Techniques for apply predictive maintenance and remaining useful life: A systematic mapping study
With prognostic activities, it is possible to predict the remaining useful life (RUL) of industrial
systems with high accuracy by following the current health status of devices. In this study, we …
systems with high accuracy by following the current health status of devices. In this study, we …
[PDF][PDF] ACP model for vehicle monitoring based on CPS
S Kim, Y Yoon - Human-centric Computing and Information Sciences, 2021 - hcisj.com
Cyber-physical systems (CPS) integrate cyberspace with the physical world through a
network of interrelated elements, such as sensors and actuators, and computational …
network of interrelated elements, such as sensors and actuators, and computational …
Fault diagnosis in industries: How to improve the health assessment of rotating machinery
Rotating machinery like pumps, compressors, and engines, are widespread in industries. A
failure in one or more of their components, eg, rolling bearings and gearboxes, may cause …
failure in one or more of their components, eg, rolling bearings and gearboxes, may cause …
Mapping damages from inspection images to 3D digital twins of large‐scale structures
HH von Benzon, X Chen - Engineering Reports, 2024 - Wiley Online Library
This study develops a methodology to create detailed visual Digital Twins of large‐scale
structures with their realistic damages detected from visual inspection or nondestructive …
structures with their realistic damages detected from visual inspection or nondestructive …