luminescence flaw detection - significado y definición. Qué es luminescence flaw detection
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Qué (quién) es luminescence flaw detection - definición

NON-DESTRUCTIVE TESTING OF RAILS
Rail Inspection; Ultrasonic rail flaw detection; Railroad inspector
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  • ''An Inspection Car on the [[Pennsylvania Railroad]]'', an 1882 [[wood engraving]] from ''[[Harper's Weekly]]''
  • Damaged rail
  • [[Holland Trackstar]]<ref>[https://www.hollandco.com/mow/measurement Holland Trackstar]</ref> [[HiRail]] measurement vehicle in

operation testing rail geometry, strength, and profile
  • Broken rail
  • A Sperry Rail Service HiRail Truck equipped with Magnetic Induction and Ultrasonic Inspection.
  • An original Sperry Rail Service rail-bound detection car.
  • An upgraded Sperry Rail Service rail bound car as seen in 2010.

Anomaly detection         
THE IDENTIFICATION OF RARE ITEMS, EVENTS OR OBSERVATIONS WHICH RAISE SUSPICIONS BY DIFFERING SIGNIFICANTLY FROM THE EXPECTED OR MAJORITY OF THE DATA
Novelty detector; Novelty detectors; Outlier detection; Deviation detection; Exception detection; Unsupervised anomaly detection; Supervised anomaly detection; Applications of anomaly detection
In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behaviour. Such examples may arouse suspicions of being generated by a different mechanism, or appear inconsistent with the remainder of that set of data.
Shot transition detection         
AUTOMATED DETECTION OF TRANSITIONS BETWEEN SHOTS
Cut detection; Shot detection; Shot boundary detection
Shot transition detection (or simply shot detection) also called cut detection is a field of research of video processing. Its subject is the automated detection of transitions between shots in digital video with the purpose of temporal segmentation of videos.
Content similarity detection         
  • Classification of computer-assisted plagiarism detection methods
  • Detection performance of CaPD approaches depending on the type of plagiarism being present
THE PROCESS OF DETECTING PLAGIARISM
Plagurism Detection; Anti-plagiarism; Plagiarismdetect; Plagiarism detecting; Plagiarism checker; Plagiarism detector; Plagiarism detection; Duplicate content detection; Citation-based plagiarism detection; Similarity detection; Video similarity detection; Plagiarism detection software
Plagiarism detection or content similarity detection is the process of locating instances of plagiarism or copyright infringement within a work or document. The widespread use of computers and the advent of the Internet have made it easier to plagiarize the work of others.

Wikipedia

Rail inspection

Rail inspection is the practice of examining rail tracks for flaws that could lead to catastrophic failures. According to the United States Federal Railroad Administration Office of Safety Analysis, track defects are the second leading cause of accidents on railways in the United States. The leading cause of railway accidents is attributed to human error. The contribution of poor management decisions to rail accidents caused by infrequent or inadequate rail inspection is significant but not reported by the FRA, only the NTSB. Every year, North American railroads spend millions of dollars to inspect the rails for internal and external flaws. Nondestructive testing (NDT) methods are used as preventive measures against track failures and possible derailment.