applied statistics - predictive maintenance data

huangyhg

applied statistics - predictive maintenance data
i want to expand my working knowledge of statistics in regards to analyzing predictive maintenance (pdm) data, such as vibration or oil analysis results.  i'm familiar with the basics of setting alarms at +/- multiples of standard deviations, but i would like to learn more about statistics in the hope that additional information can be pulled from the collected data.
can you recommend any textbooks, short-courses, websites, distance education courses, etc. that provide practical examples to real data?
thanks!
steve
check out our whitepaper library.
there is an enormous amount of text books devoted to data mining. i presume that you would like to drow some sort of curves through your data points; excel offers you a limited choice of data fitting. for me the starting text book was "applied regression analysis" by draper and smith with a lot of examples.
if you want look for additional information within your data, where the abscisa is time, then i would suggest you to start exploring "time series". however it is more complex and from programming view point much harder. one of the many times cited sources is the "time series analysis, forecasting and control" by g.e.p.box and g.m. jenkins.
if you go deeper into frequency domain you should turn towards spectral analysis. a "spectral analisys and its application" by g.w.jenkins and d.g.watts might be a possible starting point.
this is my choice and someone else would advice you different sources of course. if you want more detailed information about particular editions or more sources i can give you an extended  list.
m777182
take a look at the minitab software.
take a look at:
great (free) reading,
hih, dog