CTRL Systems, Inc.
CTRL has been designing, manufacturing, and integrating acoustic ultrasound solutions for our clients around the world since 1989.
We help to improve and sustain our clients’ production reliability while reducing energy costs through industry-leading acoustic ultrasound sensors, supported by comprehensive training and cloud-based data management.
Our Vision
To be a recognized world leader in condition-based monitoring
Our Mission
To help organizations understand, integrate, and rely upon condition-based maintenance technology to make informed, critical business decisions.
What We Do
CTRL Systems designs and delivers innovative condition-based monitoring solutions that meet each of our customers’ specific requirements for performance, features, and functionality.
What Sets CTRL Apart
Our ultrasound condition-based monitoring (CBM) takes place in a non-destructive testing (NDT) environment, allowing users to inspect and accurately monitor assets while equipment is fully operational. The CTRL approach to acoustic ultrasound CBM is viable for a single-site operation or a global multi-site organization.
What Makes Our Sensors Unique
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Best Signal-to-Noise Ratio
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Highest Sensitivity
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Ease of Use
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Size & Weight
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Certified Intrinsically Safe
![](https://static.wixstatic.com/media/5de8d8_c672863bb6d8468492bb4f6299cffeb4~mv2.jpg/v1/fill/w_354,h_236,al_c,q_80,usm_0.66_1.00_0.01,enc_auto/5de8d8_c672863bb6d8468492bb4f6299cffeb4~mv2.jpg)
![Steam+Trap+Comp+Waveform+dB+Signal+and+noise+(1).png?format=750w.png](https://static.wixstatic.com/media/415d5d_3d8be39aa0a94ff5b6cc56225213099f~mv2.png/v1/fill/w_540,h_335,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/Steam%2BTrap%2BComp%2BWaveform%2BdB%2BSignal%2Band%2Bnoise%2B(1)_png_format%3D750w.png)
In the diagram above, the UL101 records a sample from a properly functioning steam trap. Notice the relatively quiet baseline. In the bottom three samples, the same steam trap is sampled at the same time by three competitive sensors. Notice the underlying “white noise” in the baseline, making it more difficult to identify anomalies that indicate a change in condition.