Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item AR modeling of heart rate signals(Institute of Electrical and Electronics Engineers Inc., 2004) Nayak, J.; Subbanna Bhat, P.; Acharya, A.U.; Niranjan, U.C.; Sing, O.W.The electrocardiogram (ECG) is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks etc may contain useful information about the nature of disease afflicting the heart. However, the human observer can not directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the heart rate variability signal is used as the base signal for the highly useful in diagnostics. This paper deals with the analysis of eight cardiac abnormalities using Auto Regressive (AR), modeling technique. The results are tabulated below for specific example. © 2004 IEEE.Item Quantification of Rock Strength Using the Mechanical Drilling Parameters(Springer Nature, 2020) Lakshminarayana, C.R.; Tripathi, A.K.; Pal, S.K.The estimation of rock strength is most often required for the preliminary stage of rock engineering projects. The determination of rock strength properties in the laboratory is reliable, but the availability of a number of fine quality core samples for lab testing is very difficult. In this study, an attempt is made to investigate the usability of variations of thrust developed at the rock-bit interface and vibration frequency generated in the drilling machine head for estimation of rock strength during the rotary drilling. The variation of thrust and vibration frequency during drilling is measured using sophisticated digital type drilling dynamometer and data acquisition system (DAQ) with accelerometer sensor respectively. The second order regression models were developed to predict the rock strength such as uniaxial compressive strength considering the machine operating parameters and measured variables. The evaluation of the prediction ability of the developed models was checked using the three performance indices known as VAF, RMSE, and MAPE. The results revealed that the approached method is highly efficient for estimation of rock strength during rotary drilling. © 2020, Springer Nature Switzerland AG.Item Experimental Study of 24GHz Sense2Gol Pulse Radar Sensor for Human Vital Sign Measurement(Institute of Electrical and Electronics Engineers Inc., 2021) Srihari, P.; Vandana, G.S.Noncontact sensor based vital sign measurement has gained predominant attention in recent years. Frequency Modulated Continuous Wave (FMCW) radar-based sensors are deployed for this purpose at millimetre (mm) wavelengths (typically, 60 GHz and 77 GHz) to obtain vital sign measurements for various applications. This paper proposes a 24GHz Sense2Gol radar sensor-based heart rate (HR) and breath rate (BR) measurement system. Real data is collected using experimental setup from 12 male subjects and 12 female subjects of various age groups (with average age of male subjects is 40.5 years and average age of female subjects is 37.4 years). The data from the I/Q channel of the Sense2Gol radar sensor is passed through a band-pass filter followed by evaluating fast Fourier transform (FFT) to determine the HR beat per minute (bpm). To estimate the BR the arc tangent demodulation, phase unwrapping, followed by band-pass filtering is performed. The FFT is carried out for the resultant signal. The practical results from this experiment reveals that the male subjects and female subjects have an average value (HR: 63.92 bpm for male,64.97 bpm for female; BR:17.38 bpm for male, 17.45 bpm for female) of HR and BR respectively for male and female candidates. Further, over all HR across all subjects (both male and female) is 64.44 and BR across all subjects is 17.41. This Sense2Gol pulse radar sensor is relatively inexpensive among other sensors of this class and the data can be transferred using micro controller and an IoT module to nearest health care centers. © 2021 IEEE.Item Case Studies of Event Detection for Indian Power System using Signal Processing Methods(Institute of Electrical and Electronics Engineers Inc., 2021) Johnson, T.; Pathak, A.; Arya, S.A.; Dahanuwala, S.D.; Gachhi, P.; Moger, T.With the deployment of phasor measurement units (PMU) and wide area measurement system (WAMS), it is feasible to have an insight into the real-time events occurring in power systems based on measured PMU data. Any critical disturbance occurring in a power system is noted as an Event. The analysis carried out in this paper are based on PMU data inferences derived using various signal processing methods like Fast Fourier Transform, Yule-Walker Spectral Analysis, Matrix Pencil and Min-Max. The results of each of these methods have been described and an intersection of results from two or more methods are finally identified as Events. The results have been compiled on two different data sets: one for the Northern Region of Indian Power Grid and another for entire Indian power system. The data with respect to Northern Region was collected on 20th May 2020, during the cyclone Amphan, which caused many disruptions in electric power network. The second data was gathered from 30 stations all over India during an electromechanical oscillation fault. © 2021 IEEE.Item Vibration Signal Analysis of Induction Motor Bearing Faults: Some Aspects(Institute of Electrical and Electronics Engineers Inc., 2023) Bhaumik, D.; Sadda, A.; Punekar, G.S.Vibration monitoring and analysis techniques are among the most commonly used methods in identifying defects in induction motors. Motor defects like bent shafts and bearing defects are analyzed, focusing on twice-line-frequency (100 Hz) components for the vibration data of an induction motor belonging to a petrochemical industry. The motor defect in this case was a bent shaft. A marginal correlation between the vibration data and the 100 Hz component could be seen. A similar study is attempted using another data set collected from web resources. The tracking twice-line-frequency data reveals progressive deterioration of the motor condition with time; this is in spite of the motor exhibiting vibrations within the acceptable limits as per ISO 10816-3. As the vibration signals are non-stationary, the second data set is analyzed using discrete wavelet transform (DWT). The sub-band D4 of DWT showed a definite correlation with the ball-bearing faults. © 2023 IEEE.