I'd say mechanics is a pretty important topic. Same goes with som basic electrical skills, some software engineering skills even if that might be harder to explain in just a slide.
But most of all, I think the main skill of an engineer is to break down huge problems into small parts to be able...
I like to see chatting and small talk as a game of table-tennis with your young child. It's not about winning or losing, or you showing of how good a player you are and keeping the ball all the time, it's about bouncing the ball back and forth so that you both enjoy the game. This might be a...
I'm stunned to see that in 20+ posts not one has mentioned Wolfram Alpha? Sure, one might not have to get the actual app, but it's a bit easier than to use the web browser in the phone.
If you haven't came across Wolfram before it's like an "engineers google" that will calculate, convert, plot...
amanuensis, I'm not entirely sure what you mean by looking at the time-history signal and what means by default and to amplify that. If you could please explain the steps a bit more in detail it would be very helpful!
Or are wavelet uneccesarry complicated? The problem I have are large and...
Thanks for the answer Greg, informative as usual!
Tricky it is for sure, and it doesn't get easier since you need different wavelets for different applications. But maybe identifying the fault isn't the right approach here, maybe it's better to find just that something is wrong and then use...
Electricpete:
Thanks for the hint, but I've done some serious research for quite some time now without any real success so far. The thing is, that there's a lot of papers of this topic showing that wavelet is able to detect faults and showing different kinds of wavelet plots for different...
Hi everyone!
I'm making a system that will detect all different kinds of fault on different machinery like bearing, misalignment etc. I understand the concept on wavelet transforms and its advantages over the regular FFT for these kind of signals but I can't see how to compare and analyse the...
Zinov and Viktor: Thank you both for your answers! I now realize vibration analysis for tool measurements at least for ordinary machines isn't worth doing. I would like to try it sometimes though, mostly to see if it's possible, but for now I'll concentrate at the bearing fault detection.
Zinov: Portable analyse equipment is something we have a lot of already. And while they're accurate and all, they obviously require some manual handling for the measurements and since we have many machines to be monitored we can't do it as often as I would like to in order to see trends and find...
Orneynorsk: That's the plan, I'm thinking of placing the accelerometer(s) at the tool holder itself (I'm now referring to turning operations) and analyse it using FFT and wavlet transform in some Matlab and Simulink script at the computers next to the machines. This way, one should easily be...
LabView from National Instruments is a great software for signal processing like FFT. It works well with their DAQs obviously and that seems to me like a good combo if you haven't that equipment already. MatLab and Simulink is my software of choice, but it's really expensive if you don't have it...
Orneynorsk: Thanks a lot for your answer! That's a bit different answer than what I expected though. To me it seems like vibration analysis would be more accurate but maybe there's a reason why tool wear is measured using force and not vibrations.
While where at it, we have some problems with...
Hi everyone!
I'm looking to introduce a system for fault detection in bearings and misalignments using vibration analysis (thanks for all the help with that in the vibration forum, by the way!). I found out that using the same equipment (a DAQ - Data Acquisition unit) one can measure tool wear...
Optical is what we're using now when we check manually so I guess too that's an alternative. I can't see how it will work over time with all the fluids and/or dust in the machines though. Another alterative is of course to solve this using algorithms instead. We usually run 400-500 parts of each...