
President | Dust Collection Engineer | Industrial Air Pollution Control Specialist
Matt Coughlin is an author, engineer, and dust collection expert specializing in industrial filtration systems, air pollution control, and process ventilation. With more than two decades of experience in the dust collection industry, Matt has helped design, troubleshoot, and optimize hundreds of dust collection systems across a wide range of industries, including cement, mining, food processing, woodworking, metals, power generation, chemical manufacturing, and bulk material handling. Born and raised in Southern California, Matt continues to work closely with industrial facilities around the world, helping companies improve their dust collection performance through engineering expertise, practical solutions, and long-term technical support.

Remote IoT sensors attached to fan motors and rotating equipment continuously monitor parameters like vibration, acceleration, and temperature. Instead of periodic manual inspections, these sensors stream real-time data to a cloud platform. There, embedded analytics examine baseline behavior and flag subtle deviations, like early signs of misalignment, bearing wear, or imbalance. Once thresholds are crossed, the system sends an alert, giving maintenance teams time to intervene before a failure evolves. This predictive maintenance approach can dramatically reduce unplanned outages and extend the useful life of critical equipment.
An example of this technology is an IoT sensor package that mounts easily onto a motor or fan housing using magnets… no cabling, no shutdown required. The sensor uses a tri-axis accelerometer to track vibration patterns, and an embedded temperature sensor monitors heat build-up. After a short learning period, the device recognizes the normal operating “signature” of the equipment. From that point onward, any abnormal vibration or temperature anomaly triggers a predictive alert.

