similar to: Vibration signal prediction in R

I have a vibration signal coming accelerometer. I converted this signal from* m/s^2* to *mm/s*. Now I am supposed to predict this vibration signal in R using historical data. (Please see the attached picture of vibration signal). Can I use this vibration signal just like that to the prediction using predictive Models or Do i need to do some processing technique before doing prediction? Are there

Hi, I am doing predictive modelling of Multivariate Time series Data of a Motor in R using various models such as Arima, H2O.Randomforest, glmnet, lm and few other models. I created a function to select a model of our choice and do prediction. Model1 <- function(){ .. return() } Model2 <- function(){ ... return() } Model3 <- function(){ ... return() } main <-

Tony, I?m not sure what exactly you?re trying to do, but you're not really taking advantage of vectorization in your R code. I've tried to clean it up a little. The clamped lognormal is almost always 0 or L? That seems a little odd. You seem to be using the inverse cdf method of drawing samples. That's not necessary in R for standard probability distributions. You may want to do a

Further to my email below, I have just realised that I forgot to include the specification of L and R. Hence, the code needs to include the following additional lines at the start;- L<-7.5e6 R<-2.5e6 Apologies for any confusion caused! Best regards, Tony > On 12 Jul 2017, at 10:03 AM, HUL-Anthony Egerton <aegerton at huntingtonunderwriting.com> wrote: > > I am trying

Hi, I am trying to fit a multivariate time series model using DCC GARCH model and forecast it. The data looks like this: > head(datax) x vibration_x Speed 1 2017-05-16 17:53:00 -0.132 421.4189 2 2017-05-16 17:54:00 -0.296 1296.8882 3 2017-05-16 17:55:00 -0.572 0.0000 4 2017-05-16 17:56:00 -0.736 1254.2695 5 2017-05-16 17:57:00 0.000

Hello, I bought a steering wheel for racing games some time ago (a SpeedLink Darkfire). Works great in wine, but no vibration. Actually it works if I use fftest. Just not in wine. I use Ubuntu 11.04, wine 1.3.28 (which is the most recent development version right now). The wheel is connected by USB. Wine also says something about it: Code: fixme:dinput:JoystickWImpl_SendForceFeedbackCommand No

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Hello everyone, I am running Icecast 2.0.0 with ices-3.0. I run ices on a machine which has all the mp3 files I am playing and stream these mp3 to Icecast which is running on another machine. Every now and then, say 2 hours. Ices keeps churning out errors saying updating meta data and socket errors and keeps retrying and after some time it suceeds for one file and then when playing the next file

I have time-series data from a pair of inexpensive self-logging 3-axis accelerometers (http://www.gcdataconcepts.com/xlr8r-1.html). Since I'm not sure of the vibration/shock spectrum I'm measuring, for my initial sensor characterization run the units were mounted together with the sample rate set to the maximum of 640 samples/sec. Unfortunately, at this sample rate there are significant

Hello All - Any recommendations or suggestions for neat ways to visualize data taken from a 3-axis accelerometer? My study species is aquatic, so I would be interested in movement in the 3 dimensions in addition to being able to incorporate the time series as well. Is there a package in R that might be useful for this? Thank you in advance, Jen ~~~~~~~~~~~~~~~~~~~~~ Jennifer Maresh, PhD

Muchas gracias Carlos, que rápidez!!, a ver que consigo, ya os pasaré el link! El 27 de septiembre de 2014, 19:18, Carlos Ortega <cof en qualityexcellence.es> escribió: > Hola Miguel, > > Aquí tienes algunos ejemplos: > > > http://freigeist.devmag.net/r/819-fracking-in-your-neighborhood-shale-oil-and-gas-economic-impact-map.html > > >

Not sure if the question is appropos, but I have multiple csv's which are read into an xts object, corresponding to telemetry data (accelerometer, magnetometer/compass, and gyroscope). For examination, it would be ?ber useful if plot.zoo (or something similar) allowed me to zoom in and out of a subset of the time axes. -- Sent from my mobile device Envoyait de mon portable

I have an irregular time series in a Zoo object, and I've been unable to find any way to do an FFT on it. More precisely, I'd like to do an NFFT (non-equispaced / non-uniform time FFT) on the data. The data is timestamped samples from a cheap self-logging accelerometer. The data is weakly regular, with the following characteristics: - short gaps every ~20ms - large gaps every ~200ms

Since 2008, Microsoft staff and guests have written about R at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of February: The R Consortium opens a new round of grant applications for R-related

Hi, I am completely new to GARCH models and trying to fit a multivariate time series model using DCC GARCH model and forecast it. The data looks like this: > head(datax) x vibration_x Speed 1 2017-05-16 17:53:00 -0.132 421.4189 2 2017-05-16 17:54:00 -0.296 1296.8882 3 2017-05-16 17:55:00 -0.572 0.0000 4 2017-05-16 17:56:00 -0.736 1254.2695 5

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Dear list, Could you please tell me the values of the minimum and maximum cutoff frequencies for each coding version of the 44.1 kHz sampled data? For instance, are the values fmin=100 Hz and fmax=12 kHz valid? Thank you very much in advance. Kind regards, ? Fernando A. Marengo Rodriguez, PhD Post-doctoral fellow on Acoustics and Beamforming -- Laboratory of Noise and Vibration (LVA) Federal

display, accelerometer/motion sensor being the first 4 for release (though 81 have been mocked up so far). The long term concept is if you want a 'weather station with live video feeds and gps location control you can add various modules together to deliver what you are looking to achieve. I have high hopes for the concepts, and wish the guys well as it seems their hearts are in the right

That's strange, I expected the SMART test to show some issues. Personally, I'm still not confident in that drive. Can you check cabling? Another possibility is that there is a cable that has vibrated into a marginal state. Probably a long shot, but if it's easy to get physical access to the machine, and you can afford the downtime to shut it down, open up the chassis and re-seat the

I apologise as I had mistakenly posted this message via non- member mail. So I'm reposting it with member id. I need help in this case. > Hi friends, > I haven't done such a simulation before and any help would be greatly appreciated. I need your guidance. > > I need to simulate end to end data for Reliability/survival analysis of a Pump ,with correlation in place, that is