Juan José González de la Rosa | Universidad de Cadiz (original) (raw)

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Papers by Juan José González de la Rosa

Research paper thumbnail of Wavelets and wavelet packets applied to detect and characterize transient alarm signals from termites

Research paper thumbnail of A web-based distributed measurement system for electrical power quality assessment

Research paper thumbnail of An Application of ICA to BSS in a Container Gantry Crane Cabin's Model

This paper deals with the simulation of a ship-containers’ gantry crane cabin behavior, during an... more This paper deals with the simulation of a ship-containers’ gantry crane cabin behavior, during an operation of load releasing and the BSS via ICA de-noising and movements separation. The goal consists of obtaining a reliable model of the cabin, with the aim of reducing the non-desired cabin vibrations. We present the Simulink-based simulation results and the result of the signal separation algorithms when the load is released by the crane in the containers’ ship. We conclude that the mass center position of the cabin affects dramatically to the vibrations of the crane. A set of graphs are presented involving displacements and rotations of the cabin to illustrate the effect of the mass center position’s bias and the results of the ICA action.

Research paper thumbnail of Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers

This paper deals with power-quality (PQ) event detection, classification and characterization usi... more This paper deals with power-quality (PQ) event detection, classification and characterization using higher-order sliding cumulants to examine the signals. Their maxima and minima are the main features, and the classification strategy is based in competitive layers. Concretely, we concentrate on the task of differentiating two types of transients (short duration and long duration). By measuring the fourth-order central cumulants’ maxima and minima, we build the two-dimensional feature measured vector. Cumulants are calculated over high-pass digitally filtered signals, to avoid the low-frequency 50-Hz signal. We have observed that the minima and maxima measurements produce clusters in the feature space for 4th-order cumulants; 3rd-order cumulants are not capable of differentiate these two very similar PQ events. The experience aims to set the foundations of an automatic procedure for PQ event detection.

Research paper thumbnail of Higher-order characterization of power quality transients and their classification using competitive layers

Research paper thumbnail of On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals

A cumulant-based independent component analysis (Cum-ICA) is applied for blind source separation ... more A cumulant-based independent component analysis (Cum-ICA) is applied for blind source separation (BSS) in a synthetic, multi-sensor scenario, within a non-destructive pipeline test. Acoustic Emission (AE) sequences were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Four common sources in AE testing are linearly mixed, involving real AE sequences, impulses and parasitic signals from human activity. A digital high-pass filter achieves a SNR up to –40 dB.

Research paper thumbnail of Wavelets Transforms Applied to Termite Detection

... AE tests for characterization of defects in materials, or detection of spurious transients wh... more ... AE tests for characterization of defects in materials, or detection of spurious transients which reveals machinery faults [1]. The problem of termite detection lies in this set of applications involving non-stationary signals [2]. When wood fibers are broken by termites they produce ...

Research paper thumbnail of Recognition of Insect Emissions Applying the Discrete Wavelet Transform

Research paper thumbnail of Higher-order spectra measurement techniques of termite emissions. A characterization framework

Research paper thumbnail of An Application of the Independent Component Analysis to Monitor Acoustic Emission Signals Generated by Termite Activity in Wood

... 130, Pt. I, No. 5, pp. 233-244. [9] Cichocki, A. & Amari, S. (2002). Adaptive Blind S... more ... 130, Pt. I, No. 5, pp. 233-244. [9] Cichocki, A. & Amari, S. (2002). Adaptive Blind Signal and Image Processing. NY: Wiley. [lo] Moss, SD, Johnson, CC & Janata, J. (1978). Hydrogen, calcium, and potassium ion-sensitive FET transducers: a preliminary report. IEEE Trans. ...

Research paper thumbnail of Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests

Two independent component analysis (ICA) algorithms have been applied for blind source separation... more Two independent component analysis (ICA) algorithms have been applied for blind source separation (BSS) in a synthetic, multi-sensor scenario, within a non-destructive pipeline test. The first one, CumICA, is based in the computation of the cross-cumulants of the mixed observed signals, and needs the aid of a digital high-pass filter to achieve the same SNR (up to -40 dB) as the second algorithm, Fast-ICA. Vibratory signals were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Different types of commonly observed source signals are linearly mixed, involving acoustic emission (AE) sequences, impulses and other parasitic signals modelling human activity. Both ICA algorithms achieve to separate the impulse-like and the AE events, which often are associated to cracks or sudden non-stationary vibrations.

Research paper thumbnail of Higher Order Statistics and Independent Component Analysis for Spectral Characterization of Acoustic Emission Signals in Steel Pipes

IEEE Transactions on Instrumentation and Measurement, 2007

Research paper thumbnail of Third-order spectral characterization of acoustic emission signals in ring-type samples from steel pipes for the oil industry

Mechanical Systems and Signal Processing, 2007

Research paper thumbnail of A novel inference method for local wind conditions using genetic fuzzy systems

Research paper thumbnail of Simulated Annealing Based-GA Using Injective Contrast Functions for BSS

In this paper we present a novel GA-ICA method which converges to the optimum. The new method for... more In this paper we present a novel GA-ICA method which converges to the optimum. The new method for blindly separating unobservable independent component signals from their linear mixtures (Blind Source Separation BSS), uses genetic algorithms (GA) to find the separation matrices which minimize a cumulant based contrast function. The paper also include a formal prove on the convergence of the proposed algorithm using guiding operators, a new concept in the genetic algorithms scenario. This approach is very useful in many fields such as biomedical applications i.e. EEG which usually use a high number of input signals. The Guiding GA (GGA) presented in this work converges to uniform populations containing just one individual, the optimum.

Research paper thumbnail of Third-Order Spectral Characterization of Termite's Emission Track

A higher-order frequency-domain characterization of termite activity (feeding and excavating) has... more A higher-order frequency-domain characterization of termite activity (feeding and excavating) has been performed by means of analyzing diagonal slices of the bi-spectrum. Five sets of signals of different qualities were acquired using a high sensitivity probe-accelerometer. We conclude that it is possible to establish a third-order pattern (spectral track) associated to the termite emissions, and resulting from the impulsive response of the sensor and the body or substratum through which the emitted waves propagate.

Research paper thumbnail of Comparison of Two ICA Algorithms in BSS Applied to Non-destructive Vibratory Tests

Two independent component analysis (ICA) algorithms are applied for blind source separation (BSS)... more Two independent component analysis (ICA) algorithms are applied for blind source separation (BSS) in a synthetic, multi-sensor situation, within a non-destructive pipeline test. CumICA is based in the computation of the cross-cumulants of the mixtures and needs the aid of a digital high-pass filter to achieve the same SNR (up to –40 dB) as Fast-ICA. Acoustic Emission (AE) sequences were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Four common sources in AE testing are linearly mixed, involving real AE sequences, impulses and parasitic signals modelling human activity.

Research paper thumbnail of HOS and CBR measurement system for PQ assessment

This paper describes an intelligent measurement system for Power Quality (PQ) assessment. Based i... more This paper describes an intelligent measurement system for Power Quality (PQ) assessment. Based in Higher-Order Statistics (HOS), its computational intelligence is based in the Case-Based Reasoning (CBR) paradigm. The characterization of the signal is done using the variance, the skewness and the kurtosis over a tuned sliding window. These feature values are introduced in the CBR system and a classification of the signal is performed. The Virtual Instrument (VI) exhibits an accuracy of the 93% over real-life electrical anomalies.

Research paper thumbnail of Tracks of power quality transients in high order statistics spaces

Research paper thumbnail of Synchronism with Software-Based IEEE 1588–2008 for Smart Grid

We propose a new synchronized event technique for SmartGrid. A Software-Based IEEE 1588-2008 sync... more We propose a new synchronized event technique for SmartGrid. A Software-Based IEEE 1588-2008 synchronized event for Energy Measurements System (EMS) and for Intelligent Electronics Devices (IEDs). This Electronic Device comprise two main technologies: a NI cRIO-9074 integrating the acquisition and synchronization and a NI PCI_1588 card for Master task. For the essays we have defined one experimental system for high precision Synchronism.

Research paper thumbnail of Wavelets and wavelet packets applied to detect and characterize transient alarm signals from termites

Research paper thumbnail of A web-based distributed measurement system for electrical power quality assessment

Research paper thumbnail of An Application of ICA to BSS in a Container Gantry Crane Cabin's Model

This paper deals with the simulation of a ship-containers’ gantry crane cabin behavior, during an... more This paper deals with the simulation of a ship-containers’ gantry crane cabin behavior, during an operation of load releasing and the BSS via ICA de-noising and movements separation. The goal consists of obtaining a reliable model of the cabin, with the aim of reducing the non-desired cabin vibrations. We present the Simulink-based simulation results and the result of the signal separation algorithms when the load is released by the crane in the containers’ ship. We conclude that the mass center position of the cabin affects dramatically to the vibrations of the crane. A set of graphs are presented involving displacements and rotations of the cabin to illustrate the effect of the mass center position’s bias and the results of the ICA action.

Research paper thumbnail of Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers

This paper deals with power-quality (PQ) event detection, classification and characterization usi... more This paper deals with power-quality (PQ) event detection, classification and characterization using higher-order sliding cumulants to examine the signals. Their maxima and minima are the main features, and the classification strategy is based in competitive layers. Concretely, we concentrate on the task of differentiating two types of transients (short duration and long duration). By measuring the fourth-order central cumulants’ maxima and minima, we build the two-dimensional feature measured vector. Cumulants are calculated over high-pass digitally filtered signals, to avoid the low-frequency 50-Hz signal. We have observed that the minima and maxima measurements produce clusters in the feature space for 4th-order cumulants; 3rd-order cumulants are not capable of differentiate these two very similar PQ events. The experience aims to set the foundations of an automatic procedure for PQ event detection.

Research paper thumbnail of Higher-order characterization of power quality transients and their classification using competitive layers

Research paper thumbnail of On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals

A cumulant-based independent component analysis (Cum-ICA) is applied for blind source separation ... more A cumulant-based independent component analysis (Cum-ICA) is applied for blind source separation (BSS) in a synthetic, multi-sensor scenario, within a non-destructive pipeline test. Acoustic Emission (AE) sequences were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Four common sources in AE testing are linearly mixed, involving real AE sequences, impulses and parasitic signals from human activity. A digital high-pass filter achieves a SNR up to –40 dB.

Research paper thumbnail of Wavelets Transforms Applied to Termite Detection

... AE tests for characterization of defects in materials, or detection of spurious transients wh... more ... AE tests for characterization of defects in materials, or detection of spurious transients which reveals machinery faults [1]. The problem of termite detection lies in this set of applications involving non-stationary signals [2]. When wood fibers are broken by termites they produce ...

Research paper thumbnail of Recognition of Insect Emissions Applying the Discrete Wavelet Transform

Research paper thumbnail of Higher-order spectra measurement techniques of termite emissions. A characterization framework

Research paper thumbnail of An Application of the Independent Component Analysis to Monitor Acoustic Emission Signals Generated by Termite Activity in Wood

... 130, Pt. I, No. 5, pp. 233-244. [9] Cichocki, A. & Amari, S. (2002). Adaptive Blind S... more ... 130, Pt. I, No. 5, pp. 233-244. [9] Cichocki, A. & Amari, S. (2002). Adaptive Blind Signal and Image Processing. NY: Wiley. [lo] Moss, SD, Johnson, CC & Janata, J. (1978). Hydrogen, calcium, and potassium ion-sensitive FET transducers: a preliminary report. IEEE Trans. ...

Research paper thumbnail of Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests

Two independent component analysis (ICA) algorithms have been applied for blind source separation... more Two independent component analysis (ICA) algorithms have been applied for blind source separation (BSS) in a synthetic, multi-sensor scenario, within a non-destructive pipeline test. The first one, CumICA, is based in the computation of the cross-cumulants of the mixed observed signals, and needs the aid of a digital high-pass filter to achieve the same SNR (up to -40 dB) as the second algorithm, Fast-ICA. Vibratory signals were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Different types of commonly observed source signals are linearly mixed, involving acoustic emission (AE) sequences, impulses and other parasitic signals modelling human activity. Both ICA algorithms achieve to separate the impulse-like and the AE events, which often are associated to cracks or sudden non-stationary vibrations.

Research paper thumbnail of Higher Order Statistics and Independent Component Analysis for Spectral Characterization of Acoustic Emission Signals in Steel Pipes

IEEE Transactions on Instrumentation and Measurement, 2007

Research paper thumbnail of Third-order spectral characterization of acoustic emission signals in ring-type samples from steel pipes for the oil industry

Mechanical Systems and Signal Processing, 2007

Research paper thumbnail of A novel inference method for local wind conditions using genetic fuzzy systems

Research paper thumbnail of Simulated Annealing Based-GA Using Injective Contrast Functions for BSS

In this paper we present a novel GA-ICA method which converges to the optimum. The new method for... more In this paper we present a novel GA-ICA method which converges to the optimum. The new method for blindly separating unobservable independent component signals from their linear mixtures (Blind Source Separation BSS), uses genetic algorithms (GA) to find the separation matrices which minimize a cumulant based contrast function. The paper also include a formal prove on the convergence of the proposed algorithm using guiding operators, a new concept in the genetic algorithms scenario. This approach is very useful in many fields such as biomedical applications i.e. EEG which usually use a high number of input signals. The Guiding GA (GGA) presented in this work converges to uniform populations containing just one individual, the optimum.

Research paper thumbnail of Third-Order Spectral Characterization of Termite's Emission Track

A higher-order frequency-domain characterization of termite activity (feeding and excavating) has... more A higher-order frequency-domain characterization of termite activity (feeding and excavating) has been performed by means of analyzing diagonal slices of the bi-spectrum. Five sets of signals of different qualities were acquired using a high sensitivity probe-accelerometer. We conclude that it is possible to establish a third-order pattern (spectral track) associated to the termite emissions, and resulting from the impulsive response of the sensor and the body or substratum through which the emitted waves propagate.

Research paper thumbnail of Comparison of Two ICA Algorithms in BSS Applied to Non-destructive Vibratory Tests

Two independent component analysis (ICA) algorithms are applied for blind source separation (BSS)... more Two independent component analysis (ICA) algorithms are applied for blind source separation (BSS) in a synthetic, multi-sensor situation, within a non-destructive pipeline test. CumICA is based in the computation of the cross-cumulants of the mixtures and needs the aid of a digital high-pass filter to achieve the same SNR (up to –40 dB) as Fast-ICA. Acoustic Emission (AE) sequences were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Four common sources in AE testing are linearly mixed, involving real AE sequences, impulses and parasitic signals modelling human activity.

Research paper thumbnail of HOS and CBR measurement system for PQ assessment

This paper describes an intelligent measurement system for Power Quality (PQ) assessment. Based i... more This paper describes an intelligent measurement system for Power Quality (PQ) assessment. Based in Higher-Order Statistics (HOS), its computational intelligence is based in the Case-Based Reasoning (CBR) paradigm. The characterization of the signal is done using the variance, the skewness and the kurtosis over a tuned sliding window. These feature values are introduced in the CBR system and a classification of the signal is performed. The Virtual Instrument (VI) exhibits an accuracy of the 93% over real-life electrical anomalies.

Research paper thumbnail of Tracks of power quality transients in high order statistics spaces

Research paper thumbnail of Synchronism with Software-Based IEEE 1588–2008 for Smart Grid

We propose a new synchronized event technique for SmartGrid. A Software-Based IEEE 1588-2008 sync... more We propose a new synchronized event technique for SmartGrid. A Software-Based IEEE 1588-2008 synchronized event for Energy Measurements System (EMS) and for Intelligent Electronics Devices (IEDs). This Electronic Device comprise two main technologies: a NI cRIO-9074 integrating the acquisition and synchronization and a NI PCI_1588 card for Master task. For the essays we have defined one experimental system for high precision Synchronism.