14 skills found
wargod797 / Fault Diagnosis Ballbearing WaveletBearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
Ayeshmadu / QM40 Dataset For MLQM40 is a QMx type of dataset which includes 150K molecules optimized from B3LYP/6-31G(2df,p) level of theory in the Gaussian16 with QM parameters, optimized coordinates, Mulliken charges and Local vibrational mode parameters as a quantitative measurer of the bond strengths.
lauvergn / ElVibRot TnumTanaGeneral quantum dynamics code using curvilinear coordinates and a numerical kinetic energy operator (with Tnum) : (i) Vibrational levels, intensities for floppy molecular system (ii) Wave-packet propagation with or witout time dependant Hamiltonian (iii) Quantum gate and optimal control.
GaidaiIgor / SpectrumSDTA parallel Fortran program for calculation of ro-vibrational energy levels and lifetimes of ABA-molecules.
shakshihimmatramka / General Motors Vehicle Driveline Modelling And SimulationThe automotive industry is in the midst of a revolution with increasing levels of investment in electric power units to replace internal combustion engines in current and future vehicles. While range anxiety is the leading factor preventing mass adoption by drivers worldwide, automotive manufacturers are placing a premium on drivability to ensure that the change from gas vehicles to electric vehicles is effortless. Drivability is the smoothness of a vehicle’s operation, and in electric vehicles, the low-frequency vibrations from the electric driveline is the source of discomfort. This paper presents different control strategies to dampen low-frequency vibrations perceived by the human body while the vehicle is in operation. The work includes dynamic modeling of the system, linearization, system identification, classical control strategies, and advanced control strategies. The simulation results demonstrate the efficacy of each approach and assess controller performance in dampening low-frequency vibrations.
MarquetteQuantum / MQCTComputes inelastic scattering cross sections for rotational and vibrational state-to-state transitions in molecule-molecule collisions using a mixed quantum/classical theory approach. Several levels of parallelization are available for efficient execution on a variety of computer architectures.
Artash-N / Monitor My Lockdown Using Seismic VibrationsMonitoring the Effectiveness of the COVID19 Lockdown by measuring Human Activity Levels using Ground Vibration Data from Seismic Stations
omaribrahim12 / Nuclear Plants Big DatasetIt is a dataset of pressurised water reactors (a type of nuclear reactors) with various measurements in different parts of the reactor, including vibration, pressure and power levels. The first column in the spreadsheet indicates the status of the reactor, i.e. ‘normal’ or ‘abnormal’. All the other columns are features which could help us to gain insights into the status of each reactor. You are asked to provide an analysis over this data to discuss if these features could be potentially used to predict whether a reactor is normal or abnormal.
yasirutishan / ServerRoomMonitoringSystemIn this project, we will develop a system that monitors the temperature, humidity, smoke leakage, current voltage, and vibration of the server room via an Arduino IoT dashboard. In addition to attempting to detect and alert for Power Failure, Fire, Smoke, etc., this system will also integrate automation at the edge level for temperature control.
bast / NumerovCompute vibrational levels, wavefunctions, and expectation values using the Numerov-Cooley algorithm.
pebble-examples / Actionmenu MultilevelExample app using a multi-level ActionMenu component to select different vibration types.
Joderick-Sherwin / Elevator Maintenance PredictorA Python application that predicts elevator vibration levels using input parameters like revolutions, humidity, and sensor data. Built with PyQt5, it integrates with a MySQL database and allows model retraining for improved accuracy.
SamihaFansur / 3D Printed ESP32 MacropadAn ESP32 macropad device with volume control, it is controlled over Wi-Fi using an interface to update the values of each key. The volume level is set using an ultrasonic sensor, and a short vibration happens to indicate volume has been set. The macropad also has an OLED screen attached for visual feedback.
AmaraHemanthkumar / Smart Accident Detection And Prvention System Using Raspberry PiThe idea of our project is to incorporate the safety measures of seatbelt detection and alcohol detection and alert message using IOT devices in vehicles to significantly reduce the risk of accidents happening. The first being the detection mechanism. It incorporates the safety measures of seatbelt detection using IR sensors and also tests the alcohol levels in inside the car using Gas detection sensors. It then uses algorithm to test if the alcohol level is below safety limit and then allows the car to advance. Another part of our project focuses on detection of accident. Vibration sensors incorporated in IOT devices inside the car checks for unexpected vibrations and detects accidents. It then proceeds GSM module to mail emergency contacts about the situation, coordinates by GPS module and time. Thus making road driving a lot more secure. We also added the false alarm to the system so that if any case we can say that the accident is false by switching ON it.We made the code in order to work faster and first priority is for accident detection .Since the project is wired in the car, our project is secured and the message sending security is depending on the telecommunication. The results of all the sensors are accurate if in the position implemented.
