Tech Transfer eNews Blog

Purdue researchers develop sound-based system for monitoring machine health


By Jesse Schwartz
Published: August 26th, 2020

Purdue University researchers have created an efficient, low-cost system for monitoring machine health.

The technology uses audio-based artificial intelligence to monitor the overall conditions of machines in factories, hospitals and other locations. A stethoscope-like system acts as a sensor and analyzes the data with a neural network-based framework.

“Our solution is to use the concept of doctors listening to a body to assess the initial condition or experts listening to the machine sounds to know what is going on,” says Martin Jun, researcher at Purdue co-developer of the innovation. “We are using artificial intelligence to train a wide range of sounds from the machine and determine many things about the machine or process autonomously.”

The new system is designed to determine machine status, assess process conditions, predict machine failures and more. According to Jun, the technology is easier to operate and more cost-effective than current solutions such as accelerometers or acoustic emission sensors.

“Since only sound is used, it can be used for a number of different applications,” he says. “Having one low-cost sensor for many different purposes can address the current challenges in the area where most of the solutions are quite customized to specific problems.”

Jun and the team have worked with the Purdue Research Foundation Office of Technology Commercialization to patent the system and are seeking industry partners to help bring it to the marketplace.

Source: Purdue Research Foundation News

Posted under: Tech Transfer e-News

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