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Bearing faults classification using a new approach of signal processing combined with machine learning algorithms
Vibration analysis plays a crucial role in fault and abnormality diagnosis in various mechanical systems. However, efficient vibration signal...
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Adaptive feature mode decomposition: a fault-oriented vibration signal decomposition method for identification of multiple localized faults in rotating machinery
Identification of multiple mechanical faults from vibration signals has always been one of the most challenging tasks in the field of condition...
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Acoustic signal analysis for gear fault diagnosis using a uniform circular microphone array
In this paper, a far-field acoustic signal processing method based on a uniform circular microphone array is proposed for the gear fault detection....
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Signal Processing Techniques for 6G
6G networks have the burden to provide not only higher performance compared to 5G, but also to enable new service domains as well as to open the door...
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Advanced Architecture of a CdHgTe Photodiode for Detection of Weak Infrared Radiation
AbstractDark currents in advanced architecture of a photodiode matrix based on a CdHgTe ternary compound designed to record weak infrared radiation...
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A GNSS Spoofing Detection Method Based on CNN-DOA
GNSS is an essential source of information for daily life, providing positioning and timing data. However, due to the low power of satellite...
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Heart Rate Detection from Ballistocardiogram Using Continuous Wavelet Transformation
In this paper we present an algorithm for identifying individual heart beats from ballistocardiogram (BCG) records as part of IFMBE Scientific...
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The MFBD: a novel weak features extraction method for rotating machinery
For the fault diagnosis of rotating machinery, the demodulation algorithm of the monitoring signals plays a key role in fault feature extraction....
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Second-order coupled tristable stochastic resonance and its application in bearing fault detection under different noises
Bearing fault is the most likely to occur in mechanical fault, and stochastic resonance (SR), as a noise enhanced signal processing tool, can find...
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Weak fault detection method of rolling bearing based on testing signal far away from fault source
In some cases, because of the complex internal structure of the machines, the positions of the vibration sensors are far away from the rolling...
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Jointly Sparse Signal Recovery Method Based on Look-Ahead-Atom-Selection
Different from the signal detection algorithms in Chaps. 2 and 3...
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Analysis and Prediction of Elderly Fall Behavior Based on ZigBee Signal Strength Features
The issue of elderly people’s travel safety has attracted widespread attention in society. To address this problem and in line with current research...
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A Meshing Modulation Method for Gearbox Weak Fault Feature Extraction
Identifying the addition in number and amplitude of side-band frequencies besides the meshing frequency or detecting the high-resonance frequency...
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A New Strategy for Mental Fatigue Detection Based on Deep Learning and Respiratory Signal
Mental fatigue is often associated with decreased mental alertness and worsening performances. But its detection method is still a difficult issue...
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Fault Diagnosis Method of Escalator Step System Based on Vibration Signal Analysis
For the problem that escalator fault diagnosis is difficult to realize, this paper proposes a fault diagnosis method based on vibration signal...
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Automated Extraction of Fetal ECG Signal Features Using Twinned Filter and Integrated Methodologies
Nowadays, detecting fetal electrocardiogram (FECG) signals from a mother’s abdominal region is considered a most challenging task because of the high...
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Early Crack Fault Detection of Rotor Systems Based on an Optimized VMD
Rotor crack is a common and potentially dangerous fault in rotating machinery, which may cause catastrophic accidents if not detected in a timely...
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Analog and Mixed-Signal IC Products
Among all semiconductor and IC products in the global market, analog and mixed-signal and RF ICs contribute to about 15% of the total. Different from...
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A highly efficient adaptive geomagnetic signal filtering approach using CEEMDAN and salp swarm algorithm
Convenient and helpful defect information within the magnetic field signals of an energy pipeline is often disrupted by external random noises due to...
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A capacitive power and signal transfer system based on ring-coupler with mitigated inter-channel crosstalk
Wireless power and signal transfer systems are becoming increasingly important in rotary applications due to their ability to charge and communicate...
