Robotic RFEC/TC Inspection of Transmission Mains with Reducers: Practical Aspects
Bibliographic record
Abstract
In 2005, a non-destructive testing evaluation was conducted on a 36-inch Prestressed Concreter Pipe (PCP) line for a large water utility in Illinois using the patented Remote Field Eddy Current / Transformer (RFEC/TC) Technology. RFEC/TC determines the number and location of wire breaks in individual PCP pipe. Due to the small diameter of this line, both man-operated bicycle-type tool and the remote-operated tethered system were used for the inspection. Data collected from the two systems were both of good quality and comparable to each other. The utility recognizes the value of the RFEC/TC inspection and plans to conduct more inspections in other PCP sections. When possible, the remote-operated tethered system, known as PipeCrawler, will be utilized because of safety considerations and because PipeCrawler is capable of inspecting pipes in a water-filled condition. In November 2006, the same water utility used the RFEC/TC technology to inspect approximately 4 miles of another 36-inch line. This inspection was challenging because it contained seven 36-inch by 24-inch reducers. Consequently, it was not possible to use the man-operated bicycle tool. In addition, it would not have been possible to use the PipeCrawler tool in its normal configuration, because of its fixed length mast. To overcome this challenge, a controllable and extendable mast was designed to fit on the PipeCrawler to facilitate the RFEC/TC inspection of PCP mains with reducers. In this paper, we will discuss the practical aspects of this.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".