Acoustic-based machine condition monitoring—methods and challenges

G Jombo, Y Zhang - Eng, 2023 - mdpi.com
The traditional means of monitoring the health of industrial systems involves the use of
vibration and performance monitoring techniques amongst others. In these approaches …

TLEFuzzyNet: fuzzy rank-based ensemble of transfer learning models for emotion recognition from human speeches

KK Sahoo, I Dutta, MF Ijaz, M Woźniak… - IEEE Access, 2021 - ieeexplore.ieee.org
Human speech is not only a verbose medium of communication but it also conveys
emotions. The past decade has seen a lot of research going on with speech data which …

UAV platforms for data acquisition and intervention practices in forestry: towards more intelligent applications

H Sun, H Yan, M Hassanalian, J Zhang, A Abdelkefi - Aerospace, 2023 - mdpi.com
Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in
recent decades and have great economic benefits. They are validated to be more appealing …

[HTML][HTML] Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance

R Sekhar, S Pandya, P Shah, H Ghayvat… - Results in Control and …, 2024 - Elsevier
Acoustics based smart condition monitoring is a viable alternative to mechanical vibrations
or image-capture based predictive maintenance methods. In this study, a texture analysis …

An LSTM‐Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data

P Mobtahej, X Zhang, M Hamidi… - Computational and …, 2022 - Wiley Online Library
The compressors used in today's natural gas production industry have an essential role in
maintaining the production line operational. Each of the compressors' components has …

A New Acoustical Autonomous Method for Identifying Endangered Whale Calls: A Case Study of Blue Whale and Fin Whale

F Sattar - Sensors, 2023 - mdpi.com
In this paper, we study to improve acoustical methods to identify endangered whale calls
with emphasis on the blue whale (Balaenoptera musculus) and fin whale (Balaenoptera …

Recognition of Arabic accents from English spoken speech using deep learning approach

M Habbash, S Mnasri, M Alghamdi, M Alrashidi… - IEEE …, 2024 - ieeexplore.ieee.org
Accents, or changes in how different people speak the same word/sentence in the same
language, pose substantial communication issues in most spoken languages. This is a well …

Cicada species recognition based on acoustic signals

WT Tey, T Connie, KY Choo, MKO Goh - Algorithms, 2022 - mdpi.com
Traditional methods used to identify and monitor insect species are time-consuming, costly,
and fully dependent on the observer's ability. This paper presents a deep learning-based …

Deep learning based urban sound classification and ambulance siren detector using spectrogram

D Pramanick, H Ansar, H Kumar… - 2021 12th …, 2021 - ieeexplore.ieee.org
An efficient sound classification algorithm can benefit a multitude of applications involving
home, wildlife, and residential surveillance, traffic regulation, medical monitoring etc. An …

Bionic study of distance-azimuth discrimination of multi-scattered point objects in bat bio-sonar

F Wang, M Chen - Bioinspiration & Biomimetics, 2024 - iopscience.iop.org
This paper presents a novel approach to enhance the discrimination capacity of multi-
scattered point objects in bat bio-sonar. A broadband interferometer mathematical model is …