en عمومى General پژوهشي Research paper <div dir="ltr"></div> <div style="text-align: justify;">This work presents an innovative Structural Health Monitoring (SHM) applied to acoustic tubes. This system emerges as an alternative to traditional inspection methodologies in mechanical structures providing high efficiency combined with speed and monetary savings. This system has the ability to assess the remaining life of the structure and assist in decision-making, being able to intervene in situations of critical stress, preserving lives and the long-term functioning of the structure. The objective is the theoretical basis and the detection of failures in pipes by acoustic means. The Clonal Selection Algorithm is based on the continuous learning capacity of the biological immune system, having the ability to learn by repetition and memory. This method requires less training data than is usually used in the literature, with approximately 71% less data. The results presented showed how it is possible and effective to detect failure with a 100% accuracy.</div> Artificial immune systems, Negative selection algorithm, Clonal selection algorithm. 79 91 http://ijmsi.ir/browse.php?a_code=A-10-4940-1&slc_lang=en&sid=1 Igor Feliciani Merizio igor.feliciani@unesp.br 100319475328460012344 100319475328460012344 No Mechanical Engineering Department, UNESP - São Paulo State University, Ilha Solteira, São Paulo, Brasil Fábio Roberto Chavarette fabio.chavarette@unesp.br 100319475328460012345 100319475328460012345 Yes Department of Engineering, Physics and Mathematics, Institute of Chemistry, UNESP - São Paulo State University, Araraquara, São Paulo, Brasil Henrique Antônio Mendonça Faria henrique.faria@unesp.br 100319475328460012346 100319475328460012346 No Department of Engineering, Physics and Mathematics, Institute of Chemistry, UNESP - São Paulo State University, Araraquara, São Paulo, Brasil Laxmi Rathour laxmirathour817@gmail.com; rathourlaxmi562@gmail.com 100319475328460012347 100319475328460012347 No Department of Mathematics, National Institute of Technology, Chaltlang, Aizawl-796012, Mizoram, India Lakshmi Narayan Mishra lakshminarayanmishra04@gmail.com 100319475328460012348 100319475328460012348 No Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India