Everything leaks. The SDT270 finds leaks in cars, buses, clean rooms, shipping containers, hatch covers, rail cars, hospital clean rooms, refrigeration units, zero oxygen storage facilities, and envelopes Anywhere tightness integrity is demanded. Many of your processes use large machines that rotate at low speeds. It can be difficult to monitor failure stages of low speed bearings with vibration analysis. The SDT270 is the perfect companion to vibration analysis, capturing dynamic sound files to perform failure mode analysis in the Time Domain using SDT’s Ultranalysis Suite Software (UAS).
Making sense of the data you collect is essential to an effective predictive maintenance program. Ultranalysis Suite lets you establish baseline readings and set alarms that tell you when your equipment is transitioning from good to bad.
SDT gives you the tools to structure your surveys, perform data trending and advanced signal analysis.
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The versatility of the SDT270 is enhanced by a vast range of sensors and accessories making virtually every inspection possible. SDT sensors add ergonomic comfort and personal safety to your surveys.
Incorrect lubrication of bearings shortens their Lifespan. Knowing when to grease, and how to much to grease, are the keys to optimizing bearing lubrication. Predict re-lubrication intervals and add just the right amount of grease with STD’s integrated ultrasound greasing solutions.
Reliability Maintenance Services Providing Vibration Analysis,Infrared thermography Inspection Surveys,Ultrasonic Flaw Detection and Bearing monitoring, Using The state of art predictive maintenance tools, We provide predictive Maintenance Services
Partial discharge is a constant threat to your safety, and the health of your electrical systems. The SDT270 reveals electrical fault conditions in metal clad switchgear, substations, and overhead transmission and distribution lines. Use SDT and listen before you look.
Reciprocating compressor failures can cost millions of dollars in repairs and downtime. The SDT270 identifies fault conditions earlier than any other technology providing a large window to predict expensive downtime and inefficient operation.