• DEEPA MADISHETTI
• Dr. KOTA SOLOMONRAJU
• B. SRI LATHA

The word SHM (Structural Health Monitoring) associates continuous observing of the characteristics of a structure by digital instruments like sensors (e.g. accelerometer sensors and etc.) In another way, SHM includes a selection of sensor data, continuous monitoring and figure out them in real-time. To Estimate SHM parameters, we need to acquire real-time data from the various sensors such as for as temperature, Humidity, Accelerometer, Strain gauge and Ph. From these sensors, data will be collected and undergoes selected suitable Digital signal processing algorithms for noise elimination. As we all know, noise is unavoidable in every signal. In this project, using signal processing algorithms, proper shielding and design can obtain the lowest noise level. Here, the most important technique used for noise elimination is wavelet-based denoising technique secondary notation, instead of the text-based user interface, typed command labels or text navigation[1].

SHM, Wavelet denoising, Accelerometer, Python, PyCharm.

"Estimation of structural health monitoring parameters using signal processing algorithms ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.522-527, September-2018, Available :http://www.jetir.org/papers/JETIR1809581.pdf

"Estimation of structural health monitoring parameters using signal processing algorithms ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp522-527, September-2018, Available at : http://www.jetir.org/papers/JETIR1809581.pdf