VibraPad vs Stochastic Signal Processing

VibraPad is an educational App to teach the basics of vibration analysis for rotating machinery monitoring, diagnostics and maintenance. It contains a library of machines including motor, pump, fan, blower, gearbox, belt derive, and bearings. The user can easily construct a system by connecting the components from the library, define the specification for each part of the system, and see the fundamental frequencies of the system in details and also on the vibration signal spectrum. The App can acquire the vibration signal through an extra hardware that can be purchased separately. However, without the extra hardware, the user can still acquire the sound signal of the machine through the mic of the iPad and the signal will be shown in the time- and frequency-domain. The harmonics of the machine frequencies can be also shown on the frequency signal. Features: - A library of machine components: motor, pump, fan, blower, gearbox, bearings, and belt drive -easy touch and drag-based assembly of the system using the library components - acquiring the sound signal of the machine through the iPad built-in Mic - Capability of the external accelerometer data acquiring if purchased with the extra hardware (contact Motionics for more info) - Live monitoring of the acquired (sound or vibration) signal in time and frequency - Zoom option for the signal in time and frequency domains - Fundamental frequency calculator for all machine components in the library - Report generation for all the machine components with fundamental frequencies - Report E-mail option - Automatic higher peak finder for the frequency signal ******** Note *********** The App requires external hardware to operate, please contact us for more information

Speech, music, seismic vibrations, oil prices, and climate measurements are all examples of stochastic (random) signals. In this textbook—intended for individuals with prior training in introductory signal processing and introductory probability theory—we develop techniques to process such signals to extract useful information. We present case studies ranging from music to photographic images to oil prices to climate data to the motion of individual biomolecules. This textbook, as an interactive textbook ("iBook"), makes use of your device's ability to display dynamic information through films and animations and to hear the results of the techniques applied to music. At the end of every chapter there are homework problems ranging from easy to "olympic". We make use of your device's interactive capabilities to offer 59 laboratory experiments in signal processing. The experiments use the camera, the microphone, the speakers, and the graphical user interface. These experiments are not simulations; they are examples of real digital processing of signals in your device. In this time of at-home and online learning, this is the way to learn signal processing through study and experimentation.