The technology is a combination of acoustics and vision analytical components that operates by identifying and monitoring any abnormal machinery noise from the spectrum. Defects can then be located for maintenance to be carried out. By collecting data continuously, the automated-monitoring system is able to learn and improve its accuracy and sensitivity over time.
The technology has been used in various sectors such as preventive maintenance of railways. When the fleet size increases with extended operation hours, the duration between each inspection of the same wheel set also increases. The technology provides a tailor-made solution to solve this problem by identifying potential problem-wheels without interrupting normal operations. Apart from railways, the technology has also been applied in manufacturing factories, as well as energy plants.
The technology provider is seeking for collaboration opportunities with partners including, but not limited to those in transportation, energy and manufacturing.
The technology comprises multiple hardware and software components, including an audio imager, a high-speed camera, and an automated analytical intelligence system. The acoustical sensing and monitoring technology continuously inspects and identifies abnormalities in real-time, without interrupting the normal operations. This can greatly enhance the feasibility of the maintenance schedule.
The key innovation lies in the data analytics and machine learning model developed, which enables the technology to enhance its sensitivity to reach 95% accuracy through continuous data collection. During operation, the technology continues to run without any supervision and interruption to normal operations. The hardware components are installed at a particular location for acoustics sensing and data collection.
In the case for railway when train passes by, the audio imager is able to relate the noise to the respective cart and locate the source of the defects. According to their track record, the inspection efficiency has been enhanced by 20% after the system adoption.
The technology can be employed in a wide range of sectors for preventive maintenance including, but not limited to the sectors of transportation, energy and manufacturing. It can be applicable to streamline the operation for asset management, environmental management, manufacturing quality management and facility management.
Moreover, since the technology can be used to inspect areas where manual inspection is difficult and dangerous to access, it is perhaps particularly useful in energy sectors and manufacturing factories.
According to Mordor Intelligence, the condition monitoring equipment market is valued at USD 2 billion in 2019, with projected CAGR of over 5.6% during the forecast period of 2020 - 2025. Additionally, in the power and energy sectors, equipment uptime is directly correlated to the company’s bottom line. Therefore, it is likely that there will be a significant demand for monitoring systems used in maintenance.