Structural Health Monitoring,
Condition Based Maintenance & Predictive
Maintenance
MicroStrain's cost-effective wireless sensing solutions enable a broad suite of monitoring, testing, and measurement applications. Our expertise in long-range wireless sensor communication, progressive power management, and cloud-based sensor data management enable accessible, long-term monitoring of machines, buildings, vehicles, bridges, wind turbines, conveyor belts and other high value assets.
With MicroStrain’s wireless sensor networks, structural health monitoring, condition based maintenance, and predictive maintenance can help ensure integrity, safety, and reliability of machines, buildings and structures and more while efficiently and cost-effectively assessing the long-term performance of structure and machine components and preventing costly repairs and downtime.
White Paper
Joel John, Software Engineer
By leveraging the strengths of both radar and INS, engineers and researchers can develop more capable and adaptable autonomous robots for a variety of applications, from industrial automation to autonomous vehicles.
Case Study
Technology evolves as we improve how information is gathered, analyzed and implemented into various applications. For instance, Vertical Takeoff and Landing aircraft (-VTOL) can take off, hover and land vertically.
Application Note
Joe Beckwith
Structural health monitoring (SHM) is critical for ensuring the safety and longevity of infrastructure, machinery, and equipment. HBK offers two innovative solutions that make SHM easy: HBK Weldable Strain Gauges and MicroStrain by HBK Wireless Technology
White Paper
Asa Davis, Zach Fuchs, Erin Gunn, Rachel Masters, Christopher Robertson, Benjamin Say, David Schenkenberger
Drones already have their own internal IMU's, but those IMU's lack the accuracy needed for larger flight tasks. For shorter flights and recreational flying, the internal IMU is precise enough to keep the drone running as expected. A
White Paper
Ian Moore, Field Application Engineer
The new 3DMGQ7-GNSS/INS builds on the success of the 3DMGX5-GNSS/INS and adds many features desired by customers which resolve common challenges in specific use cases. This test report highlights four evolutionary improvements.
White Paper
Ian Moore, Field Application Engineer
This report compares the steps necessary to use magnetometer vs dual-antenna as a heading source for a Cessna 150M flown in a repeated flight profile.
Case Study
Parker Hannifin MicroStrain Sensing
MicroStrain Wireless Sensor Network and Displacement Sensors Measure to sub-micron accuracy .
Application Note
Parker Hannifin MicroStrain
Patented Near Field Communications and Power for Wireless Torque Monitoring
Case Study
Parker MicroStrain
Inertial Sensors take wave motion out of the Geological Survey of Israel Dead Sea Eddy Covariance evaporation study
Case Study
Sydney Trains
Wireless sensors provide safe standoff from high voltage train power
Application Note
LORD MicroStrain
Non-intrusive solutions to measure high-speed rail infrastructure conditions
Application Note
LORD MicroStrain
Maintenance and service is a key contributor to the total cost of train ownership. LORD MicroStrain® wireless sensing systems provide fleet operators with a quick and cost-effective path to embedding health sensing capabilities on both new and existing cr
Application Note
LORD MicroStrain
The ongoing maintenance and operation cost can approach $200,000 per mile of high-speed train track annually. LORD MicroStrain® wireless sensing systems provide fleet operators with a quick and cost-effective path to embedding health sensing capabilities
Case Study
Authored by MicroStrain Inc.: 2011
Cost effective inertial sensors demonstrate accurate dead-reckoning positioning in two and three dimensions for more precise and reliable personnel tracking.
White Paper
Authored by Arms et al., from MicroStrain, Inc.: 2003
Embedded wireless sensors powered by an external magnetic field measure temperature, strain, crack extension, and dielectric constant of a composite during autoclave cure process.
Case Study
MicroStrain 2020
MicroStrain's wireless sensor network and cloud-based data management platform enables growers to remotely monitor environmental variables across multiple locations.
White Paper
Authored by Galbreath, J. et al., at MicroStrain, Inc.: 2003
High-speed wireless sensor network with user-triggered and event-triggered data streaming capabilities enables long-term bridge interrogation under numerous operating conditions.
Application Note
MicroStrain
MicroStrain G-Link-200-R provides ASTM F2137-18 Standard Amusement Ride Characterization Test capability.
Application Note
MicroStrain
Sensors for Displacement Measuring
Application Note
White Paper
Authored by MicroStrain Inc.: 2012
MicroStrain wireless bridge monitoring systems enable long-term performance diagnostics with energy harvesting and remote cloud-based data analytics.
Application Note
LORD MicroStrain
MicroStrain’s 3DM-DH3™ downhole sensor is an obsolete product. The application note is included for historical reference
Using real-time performance monitoring to understand in-service product durability and provide customers with value-added predictive maintenance sets OEMs apart from the competition.
White Paper
Authored by Arms, A. et al., for Structural Material Technology: 2004
Remote sensing network comprised of low power miniature sensors and cellular interface enables scalable structural monitoring with two way communication for adaptable data collection.
Application Note
Parker MicroStrain
BridgeComposites, LLC of Hornell, NY uses a LORD MicroStrain wireless bridge monitoring system to evaluate seismic isolation bearings.
Application Note
Parker Hannifin MicroStrain
Wireless environmental sensor network provides a scalable monitoring technology for reporting and analyzing distributed data center conditions in real time-for optimized operation and reduced cost.
Case Study
MicroStrain Sensing Systems: 2020
MicroStrain Sensing Systems wireless sensor networks and cloud-based data management platform enables growers to remotely monitor environmental variables across multiple locations.
