Gerber et al., 2013 - Google Patents
Identification of harmonics and sidebands in a finite set of spectral componentsGerber et al., 2013
View PDF- Document ID
- 190617351394869307
- Author
- Gerber T
- Martin N
- Mailhes C
- Publication year
- Publication venue
- CM 2013-MFPT 2013-10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
External Links
Snippet
Spectral analysis along with the detection of harmonics and modulation sidebands are key elements in condition monitoring systems. Several spectral analysis tools are already able to detect spectral components present in a signal. The challenge is therefore to complete this …
- 230000003595 spectral 0 title abstract description 26
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bagheri et al. | A robust transform-domain deep convolutional network for voltage dip classification | |
Biswal et al. | Measurement and classification of simultaneous power signal patterns with an S-transform variant and fuzzy decision tree | |
Aligholian et al. | Unsupervised event detection, clustering, and use case exposition in micro-pmu measurements | |
Santoso et al. | Power quality disturbance waveform recognition using wavelet-based neural classifier. II. Application | |
Song et al. | Multiple event detection and recognition for large-scale power systems through cluster-based sparse coding | |
CN109974782B (en) | Equipment fault early warning method and system based on big data sensitive characteristic optimization selection | |
Arnold et al. | Synchrophasor data analytics in distribution grids | |
Kumar et al. | Recognition of single-stage and multiple power quality events using Hilbert–Huang transform and probabilistic neural network | |
CN104408667B (en) | Method and system for comprehensively evaluating power quality | |
Puliyadi Kubendran et al. | Detection and classification of complex power quality disturbances using S‐transform amplitude matrix–based decision tree for different noise levels | |
Iturrino-García et al. | An innovative single shot power quality disturbance detector algorithm | |
Peng et al. | Localizing false data injection attacks in smart grid: A spectrum-based neural network approach | |
Stief et al. | Relief F-based feature ranking and feature selection for monitoring induction motors | |
Qiu et al. | Detection of synchrophasor false data injection attack using feature interactive network | |
Gerber et al. | Identification of harmonics and sidebands in a finite set of spectral components | |
CN108562821A (en) | A kind of method and system determining Single-phase Earth-fault Selection in Distribution Systems based on Softmax | |
CN118312860B (en) | Park energy monitoring method and system based on artificial intelligence | |
Qiu et al. | Cyber spoofing detection for grid distributed synchrophasor using dynamic dual-kernel SVM | |
CN112415304B (en) | Line identification method based on low-voltage transformer area voltage data curve grouping | |
Abdalzaher et al. | Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters | |
CN112924743B (en) | Instrument state detection method based on current data | |
Fuentes-Velazquez et al. | A fast automatic detection and classification of voltage magnitude anomalies in distribution network systems using PMU data | |
Gerber et al. | Consequences of non-respect of the Bedrosian theorem when demodulating | |
Karthika et al. | Identifying key players in a covert network using behavioral profile | |
CN118091283A (en) | Smart electric meter fault detection method based on electric energy quality analysis |