Author:
Bilski Piotr,Bobiński Piotr,Krajewski Adam,Witomski Piotr
Abstract
Abstract
The paper presents an application of signal processing and computational intelligence methods to detect presence of the wood boring insects larvae in the wooden constructions (such as the furniture of buildings). Such insects are one of the main sources of the degradation in such objects, therefore they should be detected as quickly as possible, before inflicting serious damage. The presented work involved the acoustic monitoring for detecting the presence of the larvae inside pieces of wood. An accelerometer was used to record the sound, further analyzed by a computer algorithm extracting features important for artificial-intelligence (AI) based classification employed to detect the old house borer’s (Hylotrupes bajulus L.) activity. The presented task is difficult, as the sounds made by the larvae are of relatively low amplitude and the background noise caused by people, electrical appliances or other sources may significantly degrade the accuracy of detection. The classification of sounds is needed to separate sources of noise which deteriorate the proper larva detection and should be suppressed if possible. The employed classification was based on features defined in the time domain followed by the support vector machine used as the binary classifier. The results allowed us to assess the effectiveness of the old house borer’s detection by the acoustic analysis enhanced with the AI algorithm.
Subject
Acoustics and Ultrasonics
Reference7 articles.
1. Detecting wood - boring insects electronic device devel - oped as aid in locating insects destructive to timber and wood products;Pence;California Agriculture,1954
2. Laser vibrometry as a diagnostic tool for detecting wood - boring beetle larvae of;Zorović;Journal Pest Science,2015
3. Use of CT in De - tection of Internal Damage and Repair and Determi - nation of Authenticity in High - Quality Bowed Stringed Instruments;Stirr;RadioGraphics,1999
4. X - ray techniques in the investigation of a Gothic sculp - ture : The risen Christ;Mikołajska;Nukleonika,2012
5. Lar - son Acoustic system for in - sect detection in plant stems : comparisons of Cephus cinctus in wheat and Metamasius callizona in bromeli - ads of Agricultural and Urban;Mankin;Journal Entomology,2004
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