A lightweight evidence-guided acoustic diagnostic network for automotive component fault detection in maintenance scenarios
Non-contact acoustic diagnosis is attractive for automotive maintenance because abnormal sounds can be recorded without installing additional sensors on compact or inaccessible components. Practical service recordings, however, are affected by low-frequency dominance, transient impacts, device differences, propagatio...