Safely Watch and Prioritize Maintenance With AI-deep Learning and Low Cost Passive RF Wireless Vibratory Strain Sensors

Operating revenue-generating assets in harsh environments poses safety and financial risks. For example, catastrophic wind turbine blade failures are costing $1.5 billion a year to fleet owners and operators across 700,000 blades in operation globally (Wind Power Engineering, 2018), and safety incidents have increased by 22.3 percent on wind farms (Global Offshore Wind Health and Safety Organization). Sensatek discovered that passive Radio Frequency-based (RF) wireless dynamic strain sensors are a promising technology to help safely watch assets used in harsh environments, such as trending crack growth on wind turbine blades to help eliminate 3,800 blade failures occurring annually (Engineering News Record).

This technology has many applications besides wind turbines and includes airframes, gas turbines, space launch vehicles, electric machines, bridges, and natural gas pipelines, presenting a total global market opportunity of $11.6 billion (BCC Research) within the industrial, aerospace, and automotive markets. There is interest from companies such as GE, Lockheed Martin, Siemens Energy, Pratt & Whitney, and large utilities in piloting the technology.

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