Evidence, methods, and validation status

We present our research with context, methodology, and limitations. Every result is labeled by its validation stage.

Peer-reviewed Field-tested Engineering milestone In progress

Peer-reviewed research

PEER-REVIEWED

Random Shock Signal Testing (RSST) and Non-Stationary Rotary Asset Dynamics

Venue: Gear Technology India · Date: July 2025

Conceptual laboratory rotary test rig and instruments
Illustrative test rig · not experimental evidence

Methodology summary

The paper develops a testing methodology for characterizing transient shock responses in rotating machinery operating under non-stationary conditions — where speed, load, and environmental factors change continuously. It addresses the gap in conventional vibration analysis which assumes steady-state operation.

Key result

Demonstrates that RSST can isolate fault-indicative transient events in complex rotary signal environments where traditional spectral methods produce misleading results.

Limitation

Validated on laboratory and controlled test-rig conditions. Field generalization across asset classes and operating environments is ongoing.

Validation timeline

Engineering Validation

Edge-level topological analysis on ESP32 hardware. Demonstrated real-time physics-based feature extraction on resource-constrained embedded hardware. Context: internal engineering validation, 2024–2025.

Peer-Reviewed Publication

RSST methodology published in Gear Technology India (July 2025). See featured evidence above.

Patent Filed

Provisional patent application: Decentralized Acoustic Anomaly Detection via Group-Theoretic Swarm Invariants. Filed 2025.

In Progress

Multi-node swarm consensus field trials. Testing decentralized anomaly validation across physical node clusters in representative industrial environments. Expected completion: 2026.

In Progress

Marine propulsion pilot deployment. Planning stage for shipboard deployment on auxiliary turbocharger monitoring. Expected initiation: 2026.

Intellectual property

Peer-Reviewed

Random Shock Signal Testing (RSST) and Non-Stationary Rotary Asset Dynamics

Gear Technology India · July 2025

Methodology for characterizing transient shock responses in non-stationary operating conditions.

Patent Filed

Decentralized Acoustic Anomaly Detection via Group-Theoretic Swarm Invariants

Provisional patent application filed

IP covering autonomous physics-based condition monitoring using decentralized swarm intelligence and edge-level topological analysis.

What the evidence does not yet prove

  • Field generalization: Results have been validated under controlled and test-rig conditions. Generalization across diverse real-world operating environments and asset classes is not yet demonstrated.
  • Sample size: Published results are based on limited test configurations. Broader statistical validation across equipment populations is ongoing.
  • False-alarm trade-offs: Detection sensitivity and false-positive rates have been characterized in test environments but not yet at scale in production deployments.
  • Operating condition coverage: Performance under extreme environmental conditions (very high temperatures, submersion, heavy electromagnetic interference) has not been independently verified.
  • Unvalidated use cases: The system has not been tested on all asset types or failure modes described in the applications section. Applicability claims are based on engineering analysis, not field deployment.

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