Modern high-quality microphones possess the capability to capture subtle sounds emitted by machines, which may differ when underlying issues are present. Remarkably, these sounds can be detected even if their frequency falls outside the range of human hearing. This cutting-edge technology enables the identification of malfunctioning components in their initial stages by closely monitoring sound anomalies, thus preventing their escalation into catastrophic problems. Consequently, sound emerges as the most prominent indicator of impending machine failure when compared to alternative monitoring tools.