Introduction:

Complex operational failures require a new level of precision and depth in diagnostics. Aventus AI’s AI-driven root cause analysis solution combines multi-physics simulation, multi-modal AI, and structured methodologies to uncover, analyse, and resolve failures, ensuring operational reliability.

Learn how Aventus AI solves your most complex operational challenges—Click here to explore.

Industry Application

• Sector: Energy, Manufacturing, Infrastructure, Oil & Gas.
• Use Case: Tackling failure scenarios with advanced diagnostics and validated solutions.

The Challenge

• Identifying the root cause of failures is difficult with traditional methods that lack precision.
• Existing tools cannot adequately analyse complex interactions across multi-variable datasets.
• Ineffective remediation strategies lead to recurring failures and operational inefficiencies.

Global Market Opportunity

• The global failure analysis market is projected to reach $9 billion by 2030, as industries increasingly adopt advanced diagnostics and predictive technologies to prevent disruptions.

Solution

Aventus AI’s AI-Driven Root Cause Analysis Includes:

1. Multi-Modal AI for Insights Extraction:
   1. Uses AI to analyse historical data, test results, inspection records, and IoT data streams.
2. 3D Asset Capture for Diagnostics:
   1. High-resolution photogrammetry and IoT-enabled 3D scanning for detailed damage visualisation.
3. Multi-Physics Simulations:
   1. Tests failure hypotheses using historical and real-time data for precise diagnostics.
4. Remediation Validation:
   1. Simulates proposed solutions to ensure effectiveness before implementation.

Key Methodologies and Partnerships:

• FRACAS Framework: For structured failure reporting and corrective actions.
• DMAIC Methodology: For defining, measuring, analysing, improving, and controlling failure modes.
• Collaborations with IoT providers and simulation experts for comprehensive diagnostics.

Execution Plan

1. Define and Measure:
   1. Identify failure incidents and collect relevant data streams using IoT sensors and archives.
2. Analyze:
   1. Deploy AI to extract insights from historical records and run multi-physics simulations to test hypotheses.
3. Improve:
   1. Develop and validate remediation strategies using advanced simulation tools.
4. Control:
   1. Implement proven solutions and update operational protocols to prevent recurrence.

Return on Investment (ROI)

• 40% Reduction in downtime through rapid and accurate diagnostics.
• Improved asset reliability with validated solutions, minimising failure recurrence rates.
• Long-term cost savings via optimised designs and operational protocols.

Regulatory Standards

• ISO 55001: Asset management standards.
• API RP 579: Fitness-for-service analysis guidelines.
• IEC 61508: Functional safety standards.

Outcome

• Comprehensive root cause analysis integrating historical insights, IoT data, and simulations.
• Validated remediation strategies ensuring reliability and compliance.
• Enhanced operational efficiency with reduced maintenance costs.

Turn failure into insight and action with Aventus AI—Contact us today.