ANOMALOUS MACHINE SOUND DETECTION USING TIME DOMAIN GAMMATONE SPECTROGRAM FEATURE AND BASED ON IDNN AND UNET MODEL

• Main Author: Adyatma Hafiz, Primanda
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/82480
• Institution: Institut Teknologi Bandung

Anomalous machine sound detection system aims to identify the condition of machinery based on its sound. During the development of anomalous machine sound detection system, unsupervised learning methods have advantages over supervised learning methods because they do not require anomalous sound data...