A review on vibration-based condition monitoring of rotating machinery

M Tiboni, C Remino, R Bussola, C Amici - Applied Sciences, 2022 - mdpi.com
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review

T Wang, Q Han, F Chu, Z Feng - Mechanical Systems and Signal …, 2019 - Elsevier
As one of the most immensely growing renewable energies, the wind power industry also
experiences a high failure rate and operation & maintenance cost. Therefore, the condition …

Fault diagnosis in a hydraulic directional valve using a two-stage multi-sensor information fusion

J Shi, J Yi, Y Ren, Y Li, Q Zhong, H Tang, L Chen - Measurement, 2021 - Elsevier
As it is usually operating in bad working conditions and subjected to the severe interference
from diverse paths, internal faults of the hydraulic valve are difficult to be detected using …

A novel ensemble learning-based multisensor information fusion method for rolling bearing fault diagnosis

J Tong, C Liu, J Bao, H Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It is meaningful to learn fault-related information from multisensor signals automatically and
provide accurate diagnostic results. To further improve the multisensor information fusion …

Early detection of avian diseases based on thermography and artificial intelligence

M Sadeghi, A Banakar, S Minaei, M Orooji… - Animals, 2023 - mdpi.com
Simple Summary From an economic point of view, timely information about the flock state is
crucial for poultry farmers. When a flock is infected with a disease, if quick and necessary …

An intelligent device for diagnosing avian diseases: Newcastle, infectious bronchitis, avian influenza

A Banakar, M Sadeghi, A Shushtari - Computers and electronics in …, 2016 - Elsevier
In commercial poultry production there are a number of diseases which are of particular
importance due to the heavy economic losses that can arise if a flock becomes infected. The …

Spark plug fault recognition based on sensor fusion and classifier combination using Dempster–Shafer evidence theory

A Moosavian, M Khazaee, G Najafi, M Kettner… - Applied Acoustics, 2015 - Elsevier
A proper intelligent approach was developed for fault diagnosis of spark plug in an IC
engine based on acoustic and vibration signals using sensor fusion and classifier …

A novel approach for coal seam terrain prediction through information fusion of improved D–S evidence theory and neural network

L Si, Z Wang, C Tan, X Liu - Measurement, 2014 - Elsevier
In order to effectively and accurately forecast the distribution of coal seam terrain, a novel
prediction approach through information fusion of improved D–S evidence theory and neural …

Fault diagnosis of planetary gearbox with incomplete information using assignment reduction and flexible naive Bayesian classifier

J Yu, M Bai, G Wang, X Shi - Journal of Mechanical Science and …, 2018 - Springer
In planetary gearbox operation, there are many uncertain factors that may result in
incomplete diagnostic information, such as measurement instrument faults, limitation of …

An overview of the spark plug engine profile in a spark ignition engine

AA Azrin, IM Yusri, K Sudhakar, CWM Nor… - IOP Conference …, 2021 - iopscience.iop.org
The main concern regarding on the spark plug usage is their ignition efficiency and lifetime
capabilities. This article reviews on the spark plug engine profile in a spark ignition. An …