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Muhammad Farooq Siddique1, Zahoor Ahmad1, Niamat Ullah1

  • 1Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.

PubMed
概括

本研究介绍了一种混合深度学习模型,用于使用增强的短时间里埃变换 (STFT) 和连续波量变换 (CWT) 谱图来检测管道泄漏. 该方法准确地识别和分类泄漏,提高管道安全.