similar to: Vibration signal prediction in R

On Thu, Aug 24, 2017 at 7:07 AM, David Winsemius <dwinsemius at comcast.net> wrote: > > > On Aug 23, 2017, at 10:06 PM, Dhivya Narayanasamy <dhiv.shreya at gmail.com> > wrote: > > > > 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 > >

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

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 <-

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

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 at 'Transactional level' or at the granularity of time-minutes, where each observation is a reading captured via Pump's sensors each minute. Once

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

Mark, Below is the sampled simulated granular data format for pumps for trial period of 3 months that I need to transform for survival analysis: 3 months = (60*24*90) minutes i.e 129600 minutes pump_id timings events vibration temprature flow pump1 01-07-2017 00:00 0 3.443 69.6 139.806 pump1 01-07-2017 00:10 1 0.501 45.27 140.028

I bought a couple of Mediatrix 1204's a few of months back. (Perceived advantages were relatively low overall cost and size per port, and it isn't nearly as vibration sensitive as a PC would be.) Rich Adamson's review from Feb 1 is comprehensive, and the only thing I'd like to add is this: One "feature" of these units that absolutely infuriates me is its behavior for

I'm looking for people who have an xbox360 joystick to help run some tests so I can get information on implementing xinput for wine. The more 360 joysticks plugged in the better. Can you please go to the forum post I made and test: http://forum.freegamedev.net/index.php?t=msg&th=1980&start=0 Thanks, Andrew

From: Bruno Delbono <bruno.s.delbono at mail.ac> > I'm really sorry to start this thread again but I found something very > interesting I thought everyone should ^at least^ have a look at: > http://uadmin.blogspot.com/2005/06/4-dual-xeon-vs-e4500.html > This article takes into account a comparision of 4 dual xeon vs. e4500. > The author (not me!) talks about "A

Maybe Monty will make a video about it one day and we will all understand it. ;-) Silvia. On Tue, Mar 19, 2013 at 3:22 PM, Benjamin Schwartz <ben at bemasc.net> wrote: > Presuming that you are asking regarding the Ogg Vorbis audio format, the > correct answer is: there is no minimum or maximum cutoff frequency. Vorbis > can code all frequencies from DC to Nyquist. What Vorbis

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

A small example data set that illustrates your question will be of great value to those trying to help. This appears to be a transformation that you are wanting to do (timestamp to units of time) so a data representing what you have (dput() is handy for this) and one representing what you want to have with any guidance regarding how to use the other columns in you data set (e.g., the event(0/1)).

Well Solaris SAS isn''t there yet but anyway just found some interesting high density SAS/SATA enclosures. <http://xtore.com/product_list.asp?cat=JBOD> The XJ 2000 is like the x4500 in that it holds 48 drives, however with the XJ 2000 2 drives are on each carrier and you can get to them from the front. I don''t like xtore in general but the 24 bay (2.5" SAS) and 48

In principle what you need to do is the following: - break down the time you wish to simulate into intervals. - for each interval, and each failure mode, determine the probability of an event. Determining the probability is the fun part, where you make your domain knowledge explicit and include all the factors into your model: cumulative load, failure history, pressure, temperature,

I am bumping this thread because I too have the same question ... can I put modern 3TB disks (hitachi deskstars) into an old x4500 ? If not, would the x4540 accept them ? -- This message posted from opensolaris.org

Il 18/01/2016 12:09, Chris Murphy ha scritto: > What is the result for each drive? > > smartctl -l scterc <dev> > > > Chris Murphy > _______________________________________________ > CentOS mailing list > CentOS at centos.org > https://lists.centos.org/mailman/listinfo/centos > . > SCT Error Recovery Control command not supported

I came across an interesting test sample the other day while trying to compress some of my music and trying out different encoders. You can grab the sample in question from here: http://www.animus-facticius.org drone_clip.zip is a 9 second clip of the track where the artifact is most apparent, drone_short.pac is a 1 minute clip of track. The sample is from the song "Drone" from

Thanks Boris and Bret, I was successful in simulating granular/transactional data. Now I need some guidance to transform the same data in format acceptable for survival analysis i.e below format: pump_id | event_episode_no. | event(0/1) | start | stop | time_to_dropout The challenge I'm experience is to generate the 'start' and 'stop' in units of minutes/days from single

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