Latest News
WINS CLIENT SPACE

Magnetic Flux Leakage (MFL) Testing of Elevator Steel Cable (Video)

WINS introduces novel 
Wireless Sensor Monitoring Solution for Bridges, Pipelines and Other Assets.


R
VI underground storage tank (UST) inspection
(VIDEO)

President Tom Hay presents at Acoustic Emission Working Group (AEWG-54) meeting in Baltimore, MD, May 2012

President Tom Hay delivers talk on NDT Applied to Bridge Inspection at Association for Bridge Construction & Design (ABCD) in Batavia, NY, April 2012

New remote visual inspection (RVI) capability -
Video


DOT special permit approval for Acoustic Emission Retesting of 107A tubes

New pipeline inspection technology for Splashtron coated pipes


2013 NDT Training Course Calendar

View a presentation on the Principles and applications of long range ultrasound

Watch 
video
of Wireless Acoustic Emission Sensor Network for Bridge Structural Health Monitoring
Portable Rail Head Inspection



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.