In vibration based condition monitoring damage is detected sometime by transformation techniques e.g. wavelet transform or hilbert transform and sometimes we apply outlier analysis or machine learning approaches e.g. Artificial neural networks. I want to know that what is the essence of these approaches? Means when we should go for transformation and when for machine learning approaches for damage detection.
Vibration based structural health monitoring that I have explored is based on monitoring the change in the vibrational resonanaces of the transducer structure system along with applying statistical methods to determine damaged from undamaged materials.
The recent technology is health monitoring using sensors for damage detection, especially piezo sensors
I suggest application of MIMO FRF techniques and/or OMA techniques (FDD, EFDD, CC-SSI etc.). We use such techniques during shaking table testing with random (white-noise) input and they work quite well, especially if a preliminary FEA is available for having an approximate idea of initial values of modal parameters.
Dear Nauman Muni,
there are a lots of methodology to detect damage on elements and/or on structures. The general best way do not exists, but it depends on your problems. If you have to detect damage on framed structures, you could use a methodology based on the modal curvature evaluation (the proposed methodology works into the time-frequency domain). You can find a simpe description in the attached papers. If you have any questions, do not esitate to contact me.
Sincerely,
Rocco Ditommaso
Article Analysis of non-stationary structural systems by using a ban...
Article Damage detection on framed structures: modal curvature evalu...
Each of these methods has advantages and disadvantages and you should select one of them based on your case study, limitations and preferences, for example you want to solve the problem model based or not, detecting the damage location is enough or damage severity should also be detected.
Your choice depend on which one is could be provided with you, I mean tools, devices, software and technique.
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