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English translation: force/impulse step

18:37 Nov 8, 2017
German to English translations [PRO]
Tech/Engineering - Mechanics / Mech Engineering
German term or phrase: Kraftsprung
Mit dem Faltungsintegral kann die Systemantwort exakt bestimmt werden:
Bild 9.8 zeigt ein Beispiel zur Bestimmung der Systemantwort mithilfe der Gewichtsfunktion g.
Das Eingangssignal, hier ein Kraftsprung, wird mit der Gewichtsfunktion gefaltet und liefert das Antwortsignal.
sdvplatt
United Kingdom
Local time: 12:52
English translation:force/impulse step
Explanation:
Harald is right above. This is 'force step'. The previous Kudoz answer of "force jump" is incorrect. I remember this from advanced math in uni. About convolutions and signal processing.

Basically convolution (Faltung) involves combining two signals to form a third (usually denoted with mathematical symbols f and g). An input signal is fed through a linear system with an inherent impulse response, producing an output signal. The impulse response is usually a delta function:

x[n] * h[n] = y[n] (n = number of samples)

Into words: the input signal (x[n]) convolved (*) with the impulse response (h[n]) yields the output signal (y[n]). So knowing how a system responds, you'll know what the input and output signals should be. Modifying (technically: shifting/scaling) the delta function (higher/lower) produces an amplifying or attenuating system (if the impulse response amplifies/attenuates the input signal, then the output signal is higher or lower than the input) - a low-pass or high-pass filter for example does this.

In your case above, the input signal is a force step. "Sprung" here is not a jump. It's a step signal (first ref below) and so a step response is the behavior of a system over time when the input signals change from zero to one rapidly. Lot's of references for "force step response".

I think "Kraft" here can be replaced by impulse since impulse is the word used in signal processing. The author may have used Kraft because it's a mechanical system. Convolution becomes complicated mathematically depending on how each sample in the input signal contributes to the output, or how each sample in the output signal receives information from the input.

Your sentence: The input signal, a force step, is convolved with the weighting function and yields the response signal.

Wow that was a long answer. I had time today and I haven't visited Kudoz for ages. Good luck!

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Note added at 17 hrs (2017-11-09 12:01:07 GMT)
--------------------------------------------------

Wikipedia has a good discussion on step response/Sprungantwort:

https://en.wikipedia.org/wiki/Step_response

--------------------------------------------------
Note added at 18 hrs (2017-11-09 12:43:36 GMT)
--------------------------------------------------

Thinking about it more, the answer is 'force step' (and not 'impulse step')!
Selected response from:

Marcus Malabad
Canada
Grading comment
3 KudoZ points were awarded for this answer



Summary of answers provided
5 +1force/impulse step
Marcus Malabad
5 +1Heaviside/unit step function
Herbmione Granger


Discussion entries: 5





  

Answers


17 hrs   confidence: Answerer confidence 5/5 peer agreement (net): +1
force/impulse step


Explanation:
Harald is right above. This is 'force step'. The previous Kudoz answer of "force jump" is incorrect. I remember this from advanced math in uni. About convolutions and signal processing.

Basically convolution (Faltung) involves combining two signals to form a third (usually denoted with mathematical symbols f and g). An input signal is fed through a linear system with an inherent impulse response, producing an output signal. The impulse response is usually a delta function:

x[n] * h[n] = y[n] (n = number of samples)

Into words: the input signal (x[n]) convolved (*) with the impulse response (h[n]) yields the output signal (y[n]). So knowing how a system responds, you'll know what the input and output signals should be. Modifying (technically: shifting/scaling) the delta function (higher/lower) produces an amplifying or attenuating system (if the impulse response amplifies/attenuates the input signal, then the output signal is higher or lower than the input) - a low-pass or high-pass filter for example does this.

In your case above, the input signal is a force step. "Sprung" here is not a jump. It's a step signal (first ref below) and so a step response is the behavior of a system over time when the input signals change from zero to one rapidly. Lot's of references for "force step response".

I think "Kraft" here can be replaced by impulse since impulse is the word used in signal processing. The author may have used Kraft because it's a mechanical system. Convolution becomes complicated mathematically depending on how each sample in the input signal contributes to the output, or how each sample in the output signal receives information from the input.

Your sentence: The input signal, a force step, is convolved with the weighting function and yields the response signal.

Wow that was a long answer. I had time today and I haven't visited Kudoz for ages. Good luck!

--------------------------------------------------
Note added at 17 hrs (2017-11-09 12:01:07 GMT)
--------------------------------------------------

Wikipedia has a good discussion on step response/Sprungantwort:

https://en.wikipedia.org/wiki/Step_response

--------------------------------------------------
Note added at 18 hrs (2017-11-09 12:43:36 GMT)
--------------------------------------------------

Thinking about it more, the answer is 'force step' (and not 'impulse step')!


    Reference: http://www2.hawaii.edu/~gurdal/EE315/class3.pdf
    Reference: http://www.dspguide.com/ch7/1.htm
Marcus Malabad
Canada
Specializes in field
Native speaker of: Native in EnglishEnglish, Native in TagalogTagalog
PRO pts in category: 149

Peer comments on this answer (and responses from the answerer)
agree  Harald 4711
1 day 10 hrs
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1 day 4 hrs   confidence: Answerer confidence 5/5 peer agreement (net): +1
Heaviside/unit step function


Explanation:
http://www.sinus-engineering.de/know-how/fachworterbuch/
Sprungfunktion > step function

http://mathworld.wolfram.com/HeavisideStepFunction.html
The Heaviside step function is a mathematical function denoted H(x), or sometimes theta(x) or u(x) (Abramowitz and Stegun 1972, p. 1020), and also known as the "unit step function."

http://lpsa.swarthmore.edu/Transient/TransInputs/TransStep.h...
One of the most common test inputs used is the unit step function...
If the input force of the following system is a unit step, find v(t).

http://lpsa.swarthmore.edu/Convolution/Convolution.html
You know how to find the output y(t) if the input f(t) is a well defined input such as a step, impulse or sinusoid. Convolution allows you to determine the response to more complex inputs like the one shown below...
Using the convolution integral it is possible to calculate the output, y(t), of any linear system given only the input, f(t), and the impulse response, h(t). However, this integration is often difficult, so we won't often do it explicitly.

http://pages.jh.edu/~bmesignals/Lectures/Convolution.pdf
Notice the output is a function of the input “convolved” with a
property of the system,... This property we will call the “impulse response” of the system and we will study it extensively

Should help with your whole document:
https://web.stanford.edu/~boyd/ee102/tf.pdf
convolution system with input u (u(t) = 0, t < 0) and output y:
...
in the frequency domain: Y (s) = H(s)U(s)
² H is called the transfer function (TF) of the system
² h is called the impulse response of the system

Herbmione Granger
Germany
Local time: 13:52
Native speaker of: Native in EnglishEnglish
PRO pts in category: 12

Peer comments on this answer (and responses from the answerer)
agree  Harald 4711
23 hrs
  -> Danke! Sprungantwort > step response war auch hilfreich
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