Marine Radar Electromagnetic Environmental Effects (E <sup>3</sup> ) on Shipboard and Land-Based Adjustable Speed Drive Operation: Problems and Solutions
Why this work is in the frame
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Bibliographic record
Abstract
Field site instances are described where a ship or coastal water radar operation, near an on-ship or land-based adjustable speed drive (ASD) crane, caused random software code redundancy check (CRC) faults. The “Radar Noise Characteristics” section characterizes a wide range of radar source emission possibilities in terms of allocated radar frequency ranges IEEE S band (3 GHz) or IEEE X band (8–12 GHz), peak pulsed power variability (6- to 60-kW peak), and V/m (volts per meter) magnitude at the antenna surface. The “Radar Antenna Coupling Mechanisms” section describes antenna coupling mechanisms from antenna surface to V/m magnitude seen at separated ASD distance. At these frequencies, even small holes in standard ASD grounded metal cabinets allow unattenuated emission internally. Indeed, every opening in the control room door resulted in an immediate CRC trip. Separate research testing, simulating radar high E-fields at unshielded control boards, verified radar operation as the root cause of CRC faults. Existing International Electrotechnical Commission (IEC) Radiated Electric Field Susceptibility requirements for land-based ASD only extend to 2.7 GHz and have V/m specifications much lower than those for powerful radar fields in proximity. When standards do not cover unique applications, they are classified as electromagnetic environmental effects (E3) events. The “Use of Far Field Shielding Formulas” section reviews shielding effectiveness formulas and techniques to use to calculate dB V/m (voltage level in decibels reference to 1 V/m) attenuation levels required at the board level that eliminates radar source issues. The “EMC Hardened Solution Summary” section ends with a lesson learned summary on how to modify existing standard drive cabinets using an electromagnetic compatibility (EMC) hardened solution checklist on shielding materials and techniques.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it