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Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid with Renewable Energy Penetration
2020
IEEE Access
This article presents a critical review of techniques used for detection and classification PQ disturbances in the utility grid with renewable energy penetration. ...
Power quality (PQ) disturbances are found to be more predominant with RE penetration due to the variable outputs and interfacing converters. ...
EFFECT OF NOISE ON DETECTION AND CLASSIFICATION TECHNIQUES Power quality monitoring involves the detection and classification of PQDs. ...
doi:10.1109/access.2020.3014732
fatcat:ojiv64p7tfbpnk6gcwpdysdjcu
Ultrasonic signal processing techniques for Pipeline: A review
2019
MATEC Web of Conferences
This paper presents a comprehensive overview of signal processing techniques used to improve ultrasonic detection method with and without intelligent classifier. ...
While flaws in the pipeline could be detected by ultrasonic testing and monitoring the severity of the flaw. ...
Acknowledgement The authors would like to extend their greatest gratitude to the Institute of Noise and Vibration UTM for funding the study under the Higher Institution Centre of Excellence (HICoE) Grant ...
doi:10.1051/matecconf/201925506006
fatcat:bxuykexmwjam3asmnw7vixckii
2019 Index IEEE Transactions on Instrumentation and Measurement Vol. 68
2019
IEEE Transactions on Instrumentation and Measurement
., +, TIM Sept. 2019 3128-3136
Hilbert transforms
A New Method With Hilbert Transform and Slip-SVD-Based Noise-Sup-
pression Algorithm for Noisy Power Quality Monitoring. ...
Huang, K.,
+, TIM Dec. 2019 4756-4764
Fast Fourier transforms
A New Method With Hilbert Transform and Slip-SVD-Based Noise-Sup-
pression Algorithm for Noisy Power Quality Monitoring. ...
doi:10.1109/tim.2019.2956662
fatcat:kotlu7gwcngrdkelerc5va2hqe
Time-Frequency Bibliography
[chapter]
2003
Time Frequency Analysis
"A methodology for detection and classification of some underwater acoustic signals using time-frequency analysis techniques". IEEE Trans. ...
"Detection and classification of short dura-
tion underwater acoustic signals by Prony's method". In Proc. IEEE Internat. Conf. ...
doi:10.1016/b978-008044335-5/50038-3
fatcat:tfc7wkllejcdvcbtqalinh5t3y
Computational bioacoustics with deep learning: a review and roadmap
[article]
2021
arXiv
pre-print
informatics, and to use audio data in answering zoological and ecological questions. ...
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain valuable evidence about animal behaviours, populations and ecosystems. ...
The terms classification and detection are used in various ways, sometimes interchangeably. ...
arXiv:2112.06725v1
fatcat:vvoxl4rz7feb3hwqn4k6ytoicu
2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69
2020
IEEE Transactions on Instrumentation and Measurement
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N., ...
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862 ...
., +, TIM June 2020 3896-3906
Recognition of Underlying Causes of Power Quality Disturbances Using
Stockwell Transform. ...
doi:10.1109/tim.2020.3042348
fatcat:a5f4fsqs45fbbetre6zwsg3dly
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number. ...
Article numbers are based on specified topic areas and corresponding codes associated with the publication. ...
., +, TIM 2021 5013515 Quality Guaranteed ECG Signal Compression Using Tunable-Q Wavelet Transform and Möbius Transform-Based AFD. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications
2018
Sensors
The adaptive decomposition algorithm is a powerful tool for signal analysis, because it can decompose signals into several narrow-band components, which is advantageous to quantitatively evaluate signal ...
In this paper, we present a comparative study of four kinds of adaptive decomposition algorithms, including some algorithms deriving from empirical mode decomposition (EMD), empirical wavelet transform ...
In addition, then, time-varying power quality indices for accurate assessment of Power Quality Disturbances were estimated. ...
doi:10.3390/s18072120
pmid:30004429
pmcid:PMC6068995
fatcat:7owpklmtlbfv7gyvjuzuspaznm
Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review
2021
Vibration
The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission ...
, and analytics. ...
Short-time Fourier transform [149] , Hilbert-Huang transform [150] , wavelet transforms [151] and chirplet transform [152] were commonly used for time-frequency analysis in the literature. ...
doi:10.3390/vibration4030033
fatcat:gt73g7sz2rcjfmdghufndxkaaq
Green's-function reaction dynamics: A particle-based approach for simulating biochemical networks in time and space
2005
Journal of Chemical Physics
The resulting tens of thousands of hours of recording, make software-assisted detection and classification essential. ...
Vowels recognition using mellin transform and plp-based feature extraction. ...
maximize the detection, tracking, and classification of undersea threats. ...
doi:10.1063/1.2137716
pmid:16392952
fatcat:tyehqewfnzahfju3rxvivugvaa
Denoising of gravitational wave signals via dictionary learning algorithms
2016
Physical Review D
They may be used to extract signals from noise and to infer physical parameters if the data are in good enough agreement with the morphology of the dictionary atoms. ...
We use a subset of signals from both catalogs, embedded in non-white Gaussian noise, to assess our techniques with a large sample of tests and to find the best model parameters. ...
Work supported by the Spanish MINECO (grants AYA2013-40979-P and MTM2014-56218-C2-2-P) and by the Generalitat Valenciana (PROMETEOII-2014-069). ...
doi:10.1103/physrevd.94.124040
fatcat:zaq2fxu26jc3rcrovcl36fvjam
Nonnative listeners prefer perceptual cues they know from their L1: Dutch listeners use vowel duration less than English listeners for English final /v/‐/f/
2008
Journal of the Acoustical Society of America
The resulting tens of thousands of hours of recording, make software-assisted detection and classification essential. ...
Vowels recognition using mellin transform and plp-based feature extraction. ...
maximize the detection, tracking, and classification of undersea threats. ...
doi:10.1121/1.2933287
fatcat:gqdetkftz5cmrghkql35figuw4
Relationship between room shape and acoustics of rectangular concert halls
2008
Journal of the Acoustical Society of America
The resulting tens of thousands of hours of recording, make software-assisted detection and classification essential. ...
In order to extract the temporal changes, Gaussian chirplets with a carrier frequency compatible with bat emission sweep rates were used. ...
maximize the detection, tracking, and classification of undersea threats. ...
doi:10.1121/1.2933354
fatcat:eymbpllxwjcfdbkedeijrtwbwq
Analysis of room transfer function and reverberant signal statistics
2008
Journal of the Acoustical Society of America
The recordings are band-pass filtered and segmented to isolate individual calls. Then, a feature vector based on the chirplet transform is extracted from each call. ...
Given the distinction of these calls by their frequency band and rate of change in frequency, the chirplet transform appears well adapted to characterize such calls. ...
A number of classification algorithms are selected to represent the pool of existing approaches to target detection and classification, and their performances are estimated using both simulated and real ...
doi:10.1121/1.2935346
fatcat:lxgnqr6tozajhge3ydet3xomam
A virtual auditory environment for investigating the auditory signal processing of realistic sounds
2008
Journal of the Acoustical Society of America
The recordings are band-pass filtered and segmented to isolate individual calls. Then, a feature vector based on the chirplet transform is extracted from each call. ...
Given the distinction of these calls by their frequency band and rate of change in frequency, the chirplet transform appears well adapted to characterize such calls. ...
A number of classification algorithms are selected to represent the pool of existing approaches to target detection and classification, and their performances are estimated using both simulated and real ...
doi:10.1121/1.2936003
fatcat:ontu6yamdvgbnooet5fe36fm74
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