Research on Blind Source Separation for Machine Vibrations

Huang, Weiguo; Wu, Shuyou; Kong, Fangrang; Wu, Qiang

doi:10.4236/wsn.2009.15054

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…The model (4) is known as dynamic factor model and has been often used in time series analysis and econometric studies with 0  ω . It has recently attracted a new interest as a framework for forecasting from a large number of predictors [7] and for classifying outliers in innovations [8].…”

Section: Anomaly Detection Modelmentioning

confidence: 99%

An Anomaly Detection Method for Spacecraft Using ICA Technology

Xu¹,

Li²

2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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Anomalies, outlier and fault means that the received data do not fit the common pattern, and may often be occur in spacecraft missions because of the high complexity and rugged operating environment of spacecraft. In order to reveal the potential faults or anomalies many methods and technology have been researched and achieved fruitful results. In this paper, we proposed an anomaly detection method for Spacecraft based on ICA technology. The independent component analysis (ICA) is recently developed in order to extract possible independent component and reveal the hidden anomaly pattern and can be used in the anomaly detection for spacecraft. By Applying ICA technology on spacecraft telemetry data, we can reveal the hidden anomalies in telemetry data which can not be accomplished by the ordinary method. The fastICA algorithm is used when doing ICA on real spacecraft telemetry. The simulation result and the application on real telemetry data prove the effectiveness of the method.

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Section: Anomaly Detection Modelmentioning

confidence: 99%

An Anomaly Detection Method for Spacecraft Using ICA Technology

Xu¹,

Li²

2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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“…Another MRF-based method has been proposed by Tonazzini et al in [8]. In mechanical systems, BSS is used to evaluate complex mode shapes which may occur in the real world [9]. Also, evolutionary algorithms such as the Genetic algorithms (GA) [10][11][12][13], the Particle Swarm Optimization (PSO) algorithm [14][15][16], the Artificial Bee Colony (ABC) algorithm [17] and the JADE algorithm [18] are useful to solve optimization problems in diverse fields.…”

Section: Introductionmentioning

confidence: 99%

Blind Image Separation Using the JADE Method

Saeed¹,

Zohaib²

2022

The 1st International Conference on Computational Engineering and Intelligent Systems

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In this paper, we characterized and reviewed the emergence of fundamental and extended losses that limit the efficiency of a photovoltaic (PV) system. Although there is an upper theoretical bound to the power conversion efficiency of solar cells, i.e., the Shockley Queisser limit, in a practical environment, the consideration of inevitable losses in a whole PV system is imperative to optimally harvest solar energy. In this regard, this study quantifies the losses from a PV cell level to the whole PV system. It was perceived that reported losses on the PV cell level included the low energy bandgap, thermalization, recombination (surface and bulk recombination), optical absorption, space charge region, finite thickness, and metal contact loss, and it was determined that cutting techniques mainly constrained the power conversion efficiency of the solar cell. Furthermore, the detailed PV array losses were classified as mismatch power losses, dust accumulation losses, temperature effects, material quality losses, and ohmic wiring losses. The unavoidable system losses were quantified as inverter losses, maximum power point tracking losses, battery losses, and polarization losses. The study also provides insights into potential approaches to combat these losses and can become a useful guide to better visualize the overall phenomenology of a PV System.

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“…In biomedical signal processing, it focuses on extracting information using a set of bio-signal measurements made over time [12]. In mechanical systems, it permits to evaluate complex mode shapes which may occur in the real world [13]. Recently, several approaches have been proposed in literature for solving BSS problems.…”

Section: Introductionmentioning

confidence: 99%

Blind Audio Source Separation Based On High Exploration Particle Swarm Optimization

2019

KSII TIIS

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Blind Source Separation (BSS) is a technique used to separate supposed independent sources of signals from a given set of observations. In this paper, the High Exploration Particle Swarm Optimization (HEPSO) algorithm, which is an enhancement of the Particle Swarm Optimization (PSO) algorithm, has been used to separate a set of source signals. Compared to PSO algorithm, HEPSO algorithm depends on two additional operators. The first operator is based on the multi-crossover mechanism of the genetic algorithm while the second one relies on the bee colony mechanism. Both operators have been employed to update the velocity and the position of the particles respectively. Thus, they are used to find the optimal separating matrix. The proposed method enhances the overall efficiency of the standard PSO in terms of good exploration and performance. Based on many tests realized on speech and music signals supplied by the BSS demo, experimental results confirm the robustness and the accuracy of the introduced BSS technique.

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Research on Blind Source Separation for Machine Vibrations

Cited by 4 publications

References 11 publications

An Anomaly Detection Method for Spacecraft Using ICA Technology

An Anomaly Detection Method for Spacecraft Using ICA Technology

Blind Image Separation Using the JADE Method

Blind Audio Source Separation Based On High Exploration Particle Swarm Optimization

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