Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
M Elahi, SO Afolaranmi, JL Martinez Lastra… - Discover Artificial …, 2023 - Springer
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
[HTML][HTML] Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
A Theissler, J Pérez-Velázquez, M Kettelgerdes… - Reliability engineering & …, 2021 - Elsevier
Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …
machine learning (ML), have enabled a broad range of applications. In the automotive …
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics
Background: Maritime transportation accounts for around 80% of the world freight
movements, remarkably contributing to the global environmental footprint. Dual fuel engines …
movements, remarkably contributing to the global environmental footprint. Dual fuel engines …
Experimental study on a novel simultaneous control and identification of a 3-dof delta robot using model reference adaptive control
Delta robot is one of the most widely used parallel robots in the robotics industry. Therefore,
it is vital to employ appropriate methods to control Delta robot in order to perform a specific …
it is vital to employ appropriate methods to control Delta robot in order to perform a specific …
Acoustic-based engine fault diagnosis using WPT, PCA and Bayesian optimization
Featured Application In this paper, the proposed method is validated using experimental
studies based on sound signals for engine fault diagnosis, though ultimately the developed …
studies based on sound signals for engine fault diagnosis, though ultimately the developed …
Applied machine learning for IIOT and smart production—Methods to improve production quality, safety and sustainability
Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders
at many levels much faster, with much greater granularity than ever before. When it comes to …
at many levels much faster, with much greater granularity than ever before. When it comes to …
[HTML][HTML] Combustion fault detection technique of spark ignition engine based on wavelet packet transform and artificial neural network
In the present work, the wavelet packet technique based on the vibration signals is proposed
under normal and fault conditions of the spark ignition (SI) engine. A novelty fault diagnosis …
under normal and fault conditions of the spark ignition (SI) engine. A novelty fault diagnosis …
Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm
A Athisayam, M Kondal - The International Journal of Advanced …, 2023 - Springer
The occurrence of compound faults in real-time conditions leads to the early failure of
components. However, identifying compound faults in a rotor system is more complex …
components. However, identifying compound faults in a rotor system is more complex …
Data-driven fault diagnosis in end-of-line testing of complex products
Machine learning approaches may support various use cases in the manufacturing industry.
However, these approaches often do not address the inherent characteristics of the real …
However, these approaches often do not address the inherent characteristics of the real …