A survey of mechanical fault diagnosis based on audio signal analysis

L Tang, H Tian, H Huang, S Shi, Q Ji - Measurement, 2023 - Elsevier
Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …

[PDF][PDF] A comparative analysis of translation software using data science approach to Arabic statements

MMJ Farooque, BSA Jadada - International Journal of Advanced …, 2021 - researchgate.net
Readers who find difficulty in Understanding any language take the help of translator. In this
era human translators are now replaced by translation software. Many students are using …

[HTML][HTML] Acoustic monitoring of an aircraft auxiliary power unit

U Ahmed, F Ali, I Jennions - ISA transactions, 2023 - Elsevier
In this paper, the development and implementation of a novel approach for fault detection of
an aircraft auxiliary power unit (APU) has been demonstrated. The developed approach …

Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization

AM Terwilliger, JE Siegel - Sensors, 2022 - mdpi.com
In a world dependent on road-based transportation, it is essential to understand
automobiles. We propose an acoustic road vehicle characterization system as an integrated …

[PDF][PDF] The effect of introjected perceived locus of control and trust on intention to use ecommerce applications

M Aref, NB AlShahri - International Journal of Advanced Computer …, 2021 - researchgate.net
The aim of research is to determining the impacts of introjected perceived locus of control
and trust on intention to use. The primary data has been collected through a questionnaire …

Enhancing the accuracy of machinery fault diagnosis through fault source isolation of complex mixture of industrial sound signals

A Senanayaka, P Lee, N Lee, C Dickerson… - … International Journal of …, 2024 - Springer
Machinery health monitoring techniques provide valuable insights into the performance and
condition of machines. Acoustic sensor-based monitoring has emerged as a significant area …

Diagnosing localized and distributed faults of rolling bearing using Kurstogram and machine learning algorithms using bearings audio signal in comparison with …

K Jathursajan, A Wijethunge - 2022 Moratuwa Engineering …, 2022 - ieeexplore.ieee.org
Condition monitoring of rolling bearing using bearing's audio signal and vibration signal via
cost-effective accelerometer is experimented with and analyzed for both localized faults and …

Shaping Filter Simulation Modeling of Noise Signals

A Krasilnikov, V Beregun… - 2022 IEEE 41st …, 2022 - ieeexplore.ieee.org
A method for simulation modeling of noise signals based on a model of linear random
processes is substantiated. The method consists in obtaining realizations as a response of a …

Analysis of estimation error of skewness and kurtosis of Bunimovich-rice processes with exponentially power waveform of pulses

AI Krasil'nikov, VS Beregun - Radioelectronics and Communications …, 2020 - Springer
Mathematical expectations and variances of estimates of skewness and kurtosis coefficients
of the noise signal model have been derived in this study. The specified noise signals …

Diagnosing Localized and Distributed Bearing Faults by Bearing Noise Signal Using Machine Learning and Kurstogram

K Jathursajan, A Wijethunge - Advances in Technology, 2022 - journals.sjp.ac.lk
Bearings are a common component and crucial to most rotating machinery. Their failures
are the causes for more than half of the total machine failures, each with the potential to …