Late-Stage Detection of Bearing Race Spalling
Standard vibration sensors only alarm when damage has already reached the surface, leaving maintenance teams with hours rather than weeks to plan overhauls.
Physics-informed machine learning for predictive asset maintenance.
Isolate bearing spalling, cavitation, and gear fatigue weeks before catastrophic DCS trips using continuous 102.4 kHz telemetry.
PHYSICS-INFORMED NEURAL NETWORK & RUL ENGINE
ID: OPT-PINN-RUL
102.4 kHz BUS
NOMINAL
RUL Accuracy
96.4%
Early Warning
38 Days
False Alarms
< 0.4%
Models Active
3,200
PREDICTIVE ACCURACY BENCHMARKS
Empirical failure isolation and remaining useful life forecasting.
- 38 Days
- Average Early Warning
- 96.4%
- RUL Prediction Accuracy
- < 0.4%
- False Alarm Rate
- 102.4 kHz
- High-Frequency Ingestion
Sub-surface fatigue and bearing outer race micro-flaking detected well before thermal rise.
Physics-informed neural networks forecasting safe operating hours before mechanical limits.
Deterministic vibration demodulation eliminating nuisance maintenance inspections.
Raw continuous waveform sampling capturing microscopic high-frequency stress waves.
ROTATING EQUIPMENT RISKS
Eliminate catastrophic machinery seizures and unpredicted downtime.
Standard calendar inspections and basic overall RMS vibration metrics miss 80% of developing mechanical defects. Optruss analyzes raw high-frequency waveforms to isolate the root physics of failure.
Centrifuge & Pump Cavitation Destroying Seals
Undetected cavitation erodes impellers and breaches mechanical seals under continuous process flow, creating hazardous leakage risks.
Gearbox Tooth Wear Under Dynamic Shock Loads
Shock loads in heavy grinding mills and extruders cause micro-pitting on gear teeth that goes unnoticed until teeth strip completely.
PREDICTIVE DIAGNOSTIC PIPELINE
From edge waveform capture to automated maintenance dispatch in four stages.
A deterministic signal processing pipeline combining high-frequency physics with machine learning models.
Continuous Edge Waveform Capture
Triaxial MEMS and piezoelectric accelerometers sample raw acoustic and vibration signals at up to 102.4 kHz without compression.
Hilbert Envelope Demodulation & FFT Analysis
Specialized signal algorithms strip out background operating noise to expose characteristic bearing defect frequencies (BPFO, BPFI, BSF, FTF).
Physics-Informed RUL Degradation Modeling
Neural networks constrained by metallurgical fatigue laws calculate the machine’s remaining useful life and hours to threshold breach.
Automated CMMS Work Order Dispatch
The platform generates prioritized work orders with exact parts requirements and optimal intervention schedules before failure occurs.
PREDICTIVE INTELLIGENCE CAPABILITIES
Six advanced condition monitoring capabilities for heavy industrial machinery.
Covering rotating equipment, electrical assets, piping, and reciprocating compressors.
VIBRATION SPECTRAL
Triaxial Vibration Spectrum & Demodulation
High-resolution FFT spectra, waterfalls, circular orbits, and envelope demodulation exposing micro-bearing defects.
ELECTRICAL SIGNATURE
Motor Current Signature Analysis (MCSA)
Non-invasive electrical spectral analysis identifying broken rotor bars and air-gap eccentricity in induction motors.
FATIGUE FORECASTING
Remaining Useful Life (RUL) Modeling
Metallurgical wear curves forecasting reliable operating hours under dynamic plant loads and thermal cycles.
HYDRAULIC INTEGRITY
Cavitation & Impeller Degradation Detection
Continuous hydraulic acoustic signature analysis isolating impeller blade erosion and seal cavitation.
EDGE SAMPLING
High-Frequency Ingestion at 102.4 kHz
Sub-millisecond signal capture recording microscopic shock waves from high-speed turbomachinery.
CLOSED-LOOP EXECUTION
Deterministic CMMS Trigger Automation
Direct bridge converting vibration severity thresholds into governed maintenance work orders.
DOCUMENTED PLANT OUTCOMES
Quantified downtime avoidance across critical heavy turbomachinery.
Verified across gas export turbines, chemical centrifuges, and critical cooling towers.
$1.4M Saved on Unplanned Outage Avoidance
Early bearing race spalling isolated on a 28 MW gas export turbine 42 days prior to DCS trip.
38% Reduction in Catastrophic Seizures
Early intervention on high-pressure water injection pumps preventing sudden shaft fractures.
22% Extension in Equipment Useful Life
Dynamic load balancing and precision maintenance schedules prolonging capital equipment lifespan.
Industrial Whitepapers,
Research & Field Blueprints.
Peer-reviewed technical publications, architecture blueprints, and empirical operational benchmarks available for industrial engineering leaders.
Whitepaper24 Pages
18 min readThe Deterministic Edge: Eliminating DCS False Positives in High-Criticality Turbomachinery (API 670 / ISO 10816)
How continuous 102.4 kHz Hilbert demodulation bypasses kernel latency and applies deterministic finite-state validation to isolate bearing raceway micro-fractures 42 hours before DCS trip limits.
API 670 & ISO 10816-3
Research Paper32 Pages
24 min readSovereign Cloud & OT Cybersecurity Architecture: Implementing NCA ECC-1:2018 & IEC 62443 in Closed-Loop CMMS
Architectural blueprint for air-gapped and hybrid sovereign deployments. Enforces unidirectional data diodes between level 2/3 SCADA and local cloud CMMS with Merkle-verified work orders.
NCA ECC-1:2018 & IEC 62443
Industry Benchmark18 Pages
14 min read2026 Middle East Industrial Reliability Index: Downtime Reduction Benchmarks Across Petrochemical, Power & Manufacturing
Empirical reliability metrics compiled across 120 regional industrial facilities, quantifying the financial return of vibration-driven automated dispatch versus legacy calendar maintenance.
Empirical 120-Plant Dataset
Implementation Blueprint28 Pages
22 min readISO 14224 Asset Hierarchy & Failure Mode Taxonomy Blueprint for Enterprise CMMS Migration
Standard operating procedures, equipment taxonomy tables, and CSV schema models for migrating legacy SAP PM and IBM Maximo registers into unified ISO 14224 condition matrices.
ISO 14224 Asset Taxonomy
Protect your critical machinery with predictive intelligence.
Speak with our condition monitoring specialists in Riyadh. Turnkey sensor deployment with pre-configured failure libraries.