Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks

MD Prieto, G Cirrincione, AG Espinosa… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
… bearing faults. Apart from detecting local defects, ie single point balls and raceways …
frequencies should not be interpreted as a completely healthy condition of the bearing. The …

A distributed fault detection system based on IWSN for machine condition monitoring

J Neuzil, O Kreibich, R Smid - IEEE Transactions on Industrial …, 2013 - ieeexplore.ieee.org
… for the Machine Condition Monitoring system using IWSN based on splitting the data acquisition,
… Lee, “Distributed fault detection in industrial system based on sensor wireless network,” …

A probabilistic fault detection approach: Application to bearing fault detection

B Zhang, C Sconyers, C Byington… - Ieee transactions on …, 2010 - ieeexplore.ieee.org
… A reliable and accurate fault detector, therefore, must be capable of declaring a fault only …
a fault detector based on the estimation of features or condition indicators from sensor data that …

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

PB Dao, WJ Staszewski, T Barszcz, T Uhl - Renewable Energy, 2018 - Elsevier
… First of all, it should be noted that the main idea of the cointegration-based condition
monitoring and fault detection method proposed in this paper is basically similar to the well-known …

A review of fault detection and diagnosis methods for residential air conditioning systems

AP Rogers, F Guo, BP Rasmussen - Building and Environment, 2019 - Elsevier
… of fault detection of residential air conditioning systems by using cloud-based thermostat
data. Publishers have only recently started releasing large-scale analyses of thermostat data, …

Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection

M Schlechtingen, IF Santos - Mechanical systems and signal processing, 2011 - Elsevier
fault detection in online SCADA data, by applying developed models to five real measured
faults … damages the capabilities of identifying the incipient fault prior to the actual failure are …

A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems

J Chen, L Zhang, Y Li, Y Shi, X Gao, Y Hu - Renewable and Sustainable …, 2022 - Elsevier
… Shi and O'Brien [43] have reviewed the development in each step of the FDD process,
including the data sources, feature generation, fault detection, and fault diagnosis, and proposed …

Real-time condition monitoring and fault detection of components based on machine-learning reconstruction model

C Yang, J Liu, Y Zeng, G Xie - Renewable Energy, 2019 - Elsevier
… In this section, an integral condition monitoring and fault detection index of entire component
are proposed. By employing proposed reconstruction model approach, health index of …

Unsupervised fault detection in varying operating conditions

G Michau, O Fink - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
… of all the system normal operating conditions. In this paper, we propose five approaches
to perform fault detection in such context. Two approaches rely on the data from the unit to be …

Feature learning for fault detection in high-dimensional condition monitoring signals

G Michau, Y Hu, T Palmé… - … Part O: Journal of Risk and …, 2020 - journals.sagepub.com
conditions and the possible fault types make it impossible to collect enough data for learning
all the possible fault … for fault detection that uses data on healthy conditions only for its …