A major electric power company operates a large number of critical machines in its power plants and substations around the clock. Key equipment like turbines and transformers play a vital role in ensuring uninterrupted power supply. Any failure in these machines could lead to widespread blackouts and costly equipment damage. However, the early signs of such failures often manifest as high-frequency sounds, which are beyond the range of human hearing, making early detection difficult.
One day, the AI system detected an unusual high-frequency sound from a transformer at one of the company’s substations. This sound, undetectable by humans, indicated early-stage wear and tear within the transformer. The AI system analyzed the anomaly and flagged it as a potential fault.
Immediately, the real-time video monitoring system activated, providing live footage of the affected equipment to the management team. Simultaneously, alerts were automatically sent to the maintenance team and relevant personnel. Acting on the notification, the maintenance team quickly arrived on-site and stopped the transformer’s operation for an emergency inspection.
Upon inspection, the team discovered worn components inside the transformer and promptly replaced them. If left undetected, the transformer could have failed entirely, causing a massive blackout and incurring millions in repair costs.
Thanks to the early detection capabilities of the Audio AI system, the company successfully prevented a potential disaster, avoided costly repairs, and ensured uninterrupted power supply, safeguarding the community from disruptions.
Moving forward, the company plans to expand the use of Audio AI and video monitoring systems to other power plants and substations, building a more comprehensive preventive maintenance infrastructure. "With AI technology, we can now respond faster and more accurately to potential issues, ensuring stable power delivery," said the maintenance manager.