Dev

Acoustic Emission Testing (AE) — Dev Tier

(5 scenes)

Blind evaluation tier — no ground truth available.

What you get

Measurements (y), ideal forward operator (H), and spec ranges only.

How to use

Apply your pipeline from the Public tier. Use consistency as self-check.

What to submit

Reconstructed signals and corrected spec. Scored server-side.

Parameter Specifications

🔒

True spec hidden — estimate parameters from spec ranges below.

Parameter Spec Range Unit
source_location_error -1.2 – 1.8 mm
wave_speed_error 5852.0 – 5972.0 m/s
sensor_coupling_gain 0.952 – 1.072 -
arrival_time_bias -0.12 – 0.18 us

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 SwinIR-AE + gradient 0.706 27.97 0.88 0.87 ✓ Certified Liang et al., ICCV 2021; AE-adapted 2024
2 DiffusionAE + gradient 0.684 27.43 0.868 0.81 ✓ Certified Song et al., ICLR 2021; SHM application 2024
3 PINN-AE + gradient 0.650 25.39 0.814 0.85 ✓ Certified Raissi et al., J. Comput. Phys. 2019; AE extension 2024
4 Domain-Adapted ResNet + gradient 0.588 22.75 0.721 0.86 ✓ Certified Tabian et al., Sensors 2019
5 AE-CNN + gradient 0.553 21.31 0.66 0.88 ✓ Certified Ebrahimkhanlou & Salamone, Struct. Health Monit. 2019
6 PnP-ADMM + gradient 0.527 20.96 0.644 0.8 ✓ Certified Venkatakrishnan et al., IEEE GlobalSIP 2013
7 Sparse TR (L1) + gradient 0.491 19.49 0.574 0.83 ✓ Certified Gao et al., J. Sound Vib. 2016
8 TDOA-WLS + gradient 0.481 19.38 0.569 0.8 ✓ Certified Kundu, J. Acoust. Soc. Am. 2014
9 Time-Reversal Imaging + gradient 0.417 17.24 0.462 0.8 ✓ Certified Fink, IEEE UFFC 1992; applied to AE: Grosse & Ohtsu 2008

Visible Data Fields

y H_ideal spec_ranges

Dataset

Format: HDF5
Scenes: 5

Scoring Formula

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%
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