For manufacturers engaged in new energy auto parts, home appliances, consumer electronics and electromechanical equipment, abnormal sound inspection has long been a core pain point in mass production quality control and R&D iteration. Traditional manual listening inspection relies entirely on workers’ experience and auditory judgment. The noisy workshop environment, long-term working fatigue and inconsistent personal judgment standards easily lead to frequent misjudgments and missed detections. Subtle abnormal noises caused by slight bearing wear, abnormal gear meshing, assembly friction and electromagnetic howling are hard to identify manually. Defective products flowing into the market trigger continuous after-sales complaints and brand reputation losses, while the lack of systematic test data makes process traceability and product certification difficult.

Our customized industrial abnormal sound detection system is professionally developed for EOL production line inspection and laboratory NVH R&D debugging, completely solving the limitations of manual detection and simple decibel testing. Equipped with high-fidelity microphones and high-precision vibration sensors, the system adopts synchronous acoustic and vibration signal acquisition, AI voiceprint deep learning and order tracking algorithm technology. It effectively filters complex workshop background noise, accurately distinguishes normal operating sound from various subtle fault abnormal sounds, and realizes quantitative and standardized detection results without subjective deviation.

Widely applicable to multiple industrial scenarios, the system supports full working condition abnormal sound screening for new energy drive motors, reducers, water pumps and cooling fans. It also realizes batch quality inspection for household appliance compressors, fans and micro electro-mechanical components, as well as micro abnormal sound capture for consumer electronic products such as mobile phone vibration motors and earphone units. Compatible with silent cabins, hemi-anechoic chambers and simple sound insulation stations, the system requires no large-scale production line renovation. The ultra-fast detection rhythm fully matches automated mass production, and all test data, spectrograms and fault records are automatically stored and connectable with factory MES systems, realizing full-process traceability and compliant certification.

We provide fully personalized one-stop solutions including hardware sensors, customized inspection fixtures, intelligent analysis software and system docking services. Our professional technical team completes on-site commissioning, model training and threshold calibration, with long-term algorithm iteration, equipment calibration and remote operation and maintenance support. Serving numerous manufacturing enterprises and testing institutions in Singapore and Southeast Asia, our intelligent abnormal sound detection system replaces traditional manual inspection with digital and standardized acoustic quality control, effectively reducing defective rates and production costs, and providing reliable technical support for intelligent upgrading and high-quality product certification in the regional manufacturing industry.