Unsupervised anomaly detection
No labeled training data required. The system identifies structural degradation patterns through alternative mathematical foundations, applicable across diverse industrial contexts.
Protected predictive intelligence
Structural Intelligence for Industrial Fleets
Motor MSH enables pre-failure detection and predictive maintenance at fleet scale, without supervised training. Designed for European sovereign infrastructure and operational risk reduction across complex industrial systems.
Validation published: DOI 10.5281/zenodo.19695606. Core algorithm details protected as intellectual property. Technical review available through controlled disclosure.
Validation
Performance across independent industrial datasets
Motor MSH has been validated against five independent public datasets spanning multiple industrial domains. The following metrics represent area under curve (AUC) performance — a measure of classification accuracy across decision thresholds.
Controlled validation pathway
- Public benchmark results and visual evidence
- Independent peer-reviewed reference (Zenodo DOI)
- Technical review under NDA available
- Pilot programs for institutional partners
- Algorithm details protected as trade secret
Bearings (IMS)
0.991
vs SoTA 0.974
Aerospace (NASA C-MAPSS)
0.989
vs SoTA 0.981
Wind (CARE)
0.983
vs SoTA 0.971
Manufacturing (Milling)
0.978
vs SoTA 0.962
Batteries (NASA)
0.988
vs SoTA 0.760
Fleet evaluation
F1:1.0
165 runs, 11 scenarios
See DOI 10.5281/zenodo.19695606 for full technical details and independent assessment.
Visual material
Concept, evidence and industrial positioning.
Technology overview
Short explanatory video.
This short visual overview presents the concept, positioning and industrial relevance of Motor MSH without disclosing protected implementation details.
Click CC button in video player to toggle between Portuguese and English subtitles.
Operational Capabilities
Designed for institutional deployment and structural risk reduction
Rapid deployment
Operationalised within 24 hours on European sovereign infrastructure (Hetzner, OVHcloud). No complex tuning or extended training periods required for institutional evaluation.
Cross-domain validation
Validated across bearings, wind turbines, aerospace, manufacturing and batteries. Demonstrates structural transferability and robustness across heterogeneous industrial systems.
Data sovereignty
European-based infrastructure exclusively. No dependence on US-based cloud providers. Full GDPR compliance and autonomous operational control.
Intellectual property protection
Core algorithm protected as trade secret. Black-box operational deployment. Zero architectural exposure to competitors or external analysis.
Scalable impact
Studies suggest potential downtime reduction of 15-30% across critical fleet operations, with domain-specific validations pointing toward higher efficiency gains in specialized applications (wind, aerospace).
Public Technical Material
Controlled documents for institutional review
Reduce operational uncertainty before failure becomes expensive.
Contact
Request controlled technical assessment
For pilot programs, independent validation, institutional partnership or technical review, contact the official Motor MSH channel.
Official contactcontact@synthaxis.eu
Please include: organisation type, evaluation context (pilot / validation / partnership), sector of interest, and whether you require technical review under NDA.