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Fred_Kohlhepp23-Emerald I
23-Emerald I
October 13, 2014
Question

How strong is the correlation

  • October 13, 2014
  • 2 replies
  • 2880 views

I have a system that has a number of thermocouples that is reporting a thermal strain. The strain appears to be dependent on the thermocouple readings, but not all of the thermocouples will affect the readings as much as some others.

Given a dataset, how can I rank the influence levels of the thermocouples?

2 replies

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StuartBruff23-Emerald V
23-Emerald V
October 13, 2014

Principal Component Analysis?

Stuart

A
AndyWesterman12-Amethyst
12-Amethyst
October 14, 2014

Plotting a 'points' type graph of the strain against the temperature for each (single) thermocouple should give a quick (and dirty) view of the relationship to each probe.

no effect / linear / polynomial / exponential ...

from that you should be able to minimise thenumber of probes to consider & the next steps will depend on what outcome(s) you need.

If the data is in an array / matrix then it should be possible to create the graph with an index to step through the probes one at a time to minimise the overhead of multiple graphs.

Regards

Andy

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Fred_Kohlhepp23-Emerald IAuthor
23-Emerald I
October 14, 2014

A Westerman wrote:

Plotting a 'points' type graph of the strain against the temperature for each (single) thermocouple should give a quick (and dirty) view of the relationship to each probe.

no effect / linear / polynomial / exponential ...

from that you should be able to minimise thenumber of probes to consider & the next steps will depend on what outcome(s) you need.

If the data is in an array / matrix then it should be possible to create the graph with an index to step through the probes one at a time to minimise the overhead of multiple graphs.

Regards

Andy

Would that it were that simple!! The attached file has my data set; it's difficult to pick out which temperature measurement is most responsible for each measurement let alone decide on a function type.

A
AndyWesterman12-Amethyst
12-Amethyst
October 15, 2014

Hi Fred,

If I understand correctly, you have 32 thermocouples, 16 outputs and the data is 8 runs that have been added sequentially to the dataset.

Taking one condition (at "random" , honest).

output 1 and thermocouple 10:

Video Link : 5361

most of the runs show significant change in stress for no tc change , but run 6 seems to show a linear dependance & run 7 a step variation.

Now , I may not have seperated the runs correctly & this may lead to oddities. But given the inconsistency in this run , it might be adviseable to look at the data for each run independantly.

Andy

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