35%–45%
Reduction in Unplanned Downtime
First-Level Diagnostics for Rotating Equipment
Overview
In high-throughput industrial environments, alarms are constant, but diagnostic clarity is often delayed by fragmented systems and expert-dependent troubleshooting. LTM’s First-Level Diagnostics solution combines Industrial Knowledge Graphs, deterministic reasoning, and real-time operational data to deliver fast, explainable diagnostics for critical rotating equipment when response time matters most.
The Challenge
Diagnosing issues in compressors and rotating equipment often requires engineers to manually correlate data across historians, alarms, maintenance systems, and P&IDs. This fragmented approach slows root cause identification, creates inconsistent troubleshooting across shifts, and increases the risk of downtime during critical events.
Key Pain Points
- Fragmented data across operational systems
- High reliance on SME expertise
- Slow root cause identification (hours to days)
- Lack of a unified asset view
- Critical questions remain unanswered in real time
- Increased downtime and outage risk
LTM Solution: AI-Powered Industrial Diagnostics
LTM leverages Agentic AI and Industrial Knowledge Graphs to transform troubleshooting into a structured, intelligent, and explainable process. By combining real-time data, engineering context,and domain knowledge, the solution enables:
- Multi-source data correlation
- Pattern-based predictions
- Root cause identification with confidence scoring
- Explainable AI-driven recommendations
How It Works
- Integrates data from historians, SAP, alarms, and condition monitoring systems
- Builds a contextual asset model using knowledge graphs
- Applies multi-agent reasoning and deterministic diagnostic logic
- Delivers ranked diagnostics and recommended actions in real time
Business Benefits
30%
Lower Maintenance Costs
14×
Proven ROI
~85%
Faster Decision Making
Faster root cause identification
Diagnosis in ~15 min vs. 4–12 hrs manually
10%–25%
Enhanced Asset Reliability
Improvement in asset availability
20–40% longer equipment lifespan
Up to 25%
Reduced False Alarms
Fewer false alarms with AI-prioritized work order recommendations
~40%
Lower SME Dependency
Reduction in expert dependency
Knowledge retained and reused via KG
95%+
Trustworthy AI at Scale
Confidence scoring with evidence trail
Hallucination-free, explainable outputs
~10 wks
Accelerated Deployment
Time-to-value with pre-built ontology and standardized data models
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