2010 NDT Training Course Schedule is available now!
WINS acquires state-of-the-art equipment for enhanced Guided Wave Inspection Services for Pipelines and Bridge Cables, November 2009.
WINS delivers Acoustic Emission Level III Training Course in Kuala Lumpur, Malaysia, October 5-9, 2009
WINS is awarded contract with U.S. Department of Energy for developing inspection technology for health monitoring of coal power plant components, August 2009
WINS presents a paper at NYC Bridge Conference titled "Structural health monitoring using wireless acoustic emission sensor network" in August, 2009
WINS is awarded contract with NSF for developing inspection technology for Steel Piles, July 2009
WINS presents "Acoustic emission input to inspection-based bridge maintenance" at the International Conference on Fracture & Fatigue in July, 2009
WINS is awarded Market Access Grant from Pennsylvania IBD to launch Joint Venture in India, May 2009
WINS' long range ultrasonic technology (LRUT) for rail inspection is designed to be retrofitted onto Hy-Rail vehicles. The EMATs are housed inside and aluminum enclosure to protect the electronics from the environment. Inspect your track for internal flaws in conjunction with your weekly visual inspections. The sensor cables are installed along the Hy-Rail vehicle chassis into the cab of the vehicle and connected to the ultrasonic instrumentation. In-vehicle computer, keyboard and monitor are used to alert the rail inspector to rail flaws.
The LRUT technology is designed to detect the most costly rail flaws ~ head defects. Long range ultrasound travels axially in the rail at distances ranging from a few feet to a few hundred feet depending on the application. Powerful ultrasonic waves are reflected from transverse defects and rail breaks when the longitudinally traveling wave strikes the discontinuity.
Long range ultrasound is generated efficiently in rail using non-contact electromagnetic acoustic transducers (EMATs). The EMATs travel along the rail head and introduce pulses of ultrasound into the rail head. The pulses flood the rail head with ultrasonic energy that reflect powerfully from transverse oriented rail flaws and discontinuities. The ultrasound penetrates underneath surface shelling and engine burns to detect hidden transverse flaws that are commonly missed by tradition rail flaw inspection techniques. The analysis software is embedded with artificial intelligence capabilities. Pattern recognition classifiers are used to classify defects in real-time. Each defect is tagged with GPS coordinates for follow-up inspection and reporting purposes.