You can start with the following papers:
http://www.ijcaonline.org/volume15/number4/pxc3872582.pdf
http://staff.ustc.edu.cn/~zwp/teach/MVA/pcaimg.pdf
1) You can start with writing "principal" rather than "principle". By the way, this seems to be a very common error. The first paper recommended by Bruno Marin (above) makes this mistake. I would not start reading a paper whose authors cannot spell correctly what they are trying to describe!
2) Now, go to the library :-)
3) In a nutshell, PCA consists in looking at your data using a system of coordinates that maximise the variance and that are orthogonal to each other.
A little about PCA: https://www.researchgate.net/publication/319469038_New_Interpretation_of_Principal_Components_Analysis.
Article New Interpretation of Principal Components Analysis
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