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The QRS complex detection is very imperative step prior to detecting any other wave component, beat segments, or any other morphological parameters of electrocardiogram (ECG). The paper presents a novel technique for QRS complex detection with minimum pre-processing required. The technique uses two-stage median filter and Savitzky–Golay smoothing filter for pre-processing. The decision rule is based...
Particle swarm optimization (PSO) is a swarm intelligence based computer algorithm that is used to find a solution in the search space of an optimization problem. Adding frequency diversity, through subcarrier redundancy, in orthogonal frequency-division multiplexing (OFDM) is a popular approach to improve the robustness of the system. However, frequency redundant OFDM system is prone to high peak-to-average...
Electromyography (EMG) signal is electrical manifestation of neuromuscular activation by which physiological processes are accessible. The bio-mechanical phenomenon induces the muscle to generate force and produce movement and help to interact with the world. Classification of EMGs is a big challenge due to its non stationary nature. Various features like root mean square, spectrogram, kurtosis, entropy...
Rolling element bearings are critical components of rotating machinery. Failure diagnosis of bearing faults is necessary and can often avoid more catastrophic failure consequences. Nowadays vibration condition monitoring is the most frequently used failure diagnostic method for rotating machinery. Several designs have been proposed in the literature and in this paper we propose a different approach...
In order to monitor the structural health condition in the case of damage samples shortage, a new approach is proposed by only using the healthy samples of vibration signals. By taking root mean square (RMS), variance, kurtosis and crest factor as characteristic parameters, an identification model for structural health condition monitoring is built by using Mahalanobis-Taguchi System (MTS). It is...
This paper updates current efforts by the authors to develop fully-automated, online incipient fault detection and prognosis algorithms for drivetrain and engine bearings. The authors have developed and evolved ImpactEnergytrade, a feature extraction and analysis driven system that integrates high frequency vibration/acoustic emission data, collected using accelerometers and other sensors such as...
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