It can be difficult to assess acoustic changes over long timescales, especially if the changes are gradual. Mental state (inc. ear fatigue), headphones, audio memory etc. all come into play.
My initial thought was to approach measurement as a signal analysis problem. Leave a source and amp. running for several hundred hours, playing white or pink noise. Send the signal from the HP out to a computer input. Split the recording (in to, say, hourly chunks) then look at the spectra (FFT). The frequency content of each hour should be very similar, so significant changes would be due to changes in the frequency response of the source or amp. Yes, no?
Then I realised this may be over-doing it. Maybe simply removing/reducing audio memory effects would be enough. So, record a sample (noise or music) when the unit is new, then the same sample at intervals. Simply listen to them. I think that the ability to compare the unit at different stages while eliminating 'human effects' could be interesting.
I realise there is the effect of recording and playback but at least these should be constants.
My initial thought was to approach measurement as a signal analysis problem. Leave a source and amp. running for several hundred hours, playing white or pink noise. Send the signal from the HP out to a computer input. Split the recording (in to, say, hourly chunks) then look at the spectra (FFT). The frequency content of each hour should be very similar, so significant changes would be due to changes in the frequency response of the source or amp. Yes, no?
Then I realised this may be over-doing it. Maybe simply removing/reducing audio memory effects would be enough. So, record a sample (noise or music) when the unit is new, then the same sample at intervals. Simply listen to them. I think that the ability to compare the unit at different stages while eliminating 'human effects' could be interesting.
I realise there is the effect of recording and playback but at least these should be constants.