Wind turbine fault detection and identification through PCA-based optimal variable selection
An effective condition monitoring system of wind turbines generally requires installation of a
high number of sensors and use of a high sampling frequency in particular for monitoring of …
high number of sensors and use of a high sampling frequency in particular for monitoring of …
IoT-based predictive maintenance for fleet management
In recent years, the Internet of Things (IoT) and big data have been hot topics. With all this
data being produced, new applications such as predictive maintenance are possible …
data being produced, new applications such as predictive maintenance are possible …
A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data
The growing interest in artificial intelligence has led to current data-driven predictive
maintenance (PdM) relying on machine learning (ML) algorithms. Although ML algorithms …
maintenance (PdM) relying on machine learning (ML) algorithms. Although ML algorithms …
Related entropy theories application in condition monitoring of rotating machineries
Rotating machinery plays an important role in various kinds of industrial engineering. How to
assess their conditions is a key problem for operating safety and condition-based …
assess their conditions is a key problem for operating safety and condition-based …
RUL prediction and uncertainty management for multisensor system using an integrated data-level fusion and UPF approach
Due to the fact that single sensor data contains only partial information about complex
systems, multiple sensors are often embedded to simultaneously monitor the health state …
systems, multiple sensors are often embedded to simultaneously monitor the health state …
A hybrid method of remaining useful life prediction for aircraft auxiliary power unit
The aircraft auxiliary power unit (APU) is mainly used to provide electricity and compressed
air to the aircraft. Not only can it help to start main engines, but also it can provide essential …
air to the aircraft. Not only can it help to start main engines, but also it can provide essential …
Multi-fidelity sensor selection: Greedy algorithms to place cheap and expensive sensors with cost constraints
E Clark, SL Brunton, JN Kutz - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
We develop greedy algorithms to approximate the optimal solution to the multi-fidelity sensor
selection problem, which is a cost constrained optimization problem prescribing the …
selection problem, which is a cost constrained optimization problem prescribing the …
Data-driven remaining useful life prediction considering sensor anomaly detection and data recovery
Prognostics and health management (PHM) is being adopted more and more in the modern
engineering systems. As one of the most important technologies in the PHM domain …
engineering systems. As one of the most important technologies in the PHM domain …
A data-driven approach for remaining useful life prediction of aircraft engines
C Zheng, W Liu, B Chen, D Gao… - 2018 21st …, 2018 - ieeexplore.ieee.org
It is crucial to predict the remaining useful life (RUL) of aircraft engines accurately and timely
for the aircraft operation safety and appropriate maintenance decision. The key issue is how …
for the aircraft operation safety and appropriate maintenance decision. The key issue is how …
A relative entropy based feature selection framework for asset data in predictive maintenance
Predictive maintenance (PdM) is applied to monitor a system's life cycle to provide current
diagnostics, prognostics and provide information capable of guiding maintenance related …
diagnostics, prognostics and provide information capable of guiding maintenance related …