Decisions powered by your people’s knowledge
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Built on 20+ years of reliability engineering experience, with 100k records analysed and real benefits
Problem: Untapped asset performance history buried across thousands of work records.
Consequence: Decisions on risks made without equipment carer’s feedback, resulting in missed opportunities, hidden risks, wastage and even incidents.
Solution: Transform work history into a structured, consistent, auditable asset life story to make informed, risk-based decisions.
Turning frontline intelligence into risk-based decisions
How:
Uses technician observations as the primary source
Converts free-text logs into codified failure events
Applies consistent classification across full operating life
Links failure events across work orders
Maintains full traceability back to original records
Eliminates inconsistency if reviewed and clasified manually
No limits on history size
Quick, impactful results
Outcome:
A defensible, data-driven understanding of asset performance, based on actual field observations, enabling better decisions on safety, production, cost and planning.
Plain language failure events timeline
ISO 14224 coded failure data
Quantified failure rates, MTTR, Reliability, PFDavg
Scenario modeling
Identification of recurring failures and bad actors
Insight into maintenance effectiveness
Reusable dataset for ongoing analysis
INFORMED DECISIONS
Impact on Business Goals
Safety
Confidence that SECE / safety functions perform as assumed
Early identification of hidden degradation and recurring failure modes
More defensible position during audits and regulatory reviews
Production & Availability
Reduced unplanned downtime through targeted intervention
Faster identification of failure patterns impacting operations
Improved availability based on actual repair performance (MTTR)
Maintenance & Cost
Avoid over/under-maintenance by aligning PM with real failure behaviour
Focus effort on assets that actually drive failures (bad actors)
Better allocation of maintenance resources and spares
Planning & Investment
Support decisions on test frequency and maintenance strategy
Identify ageing assets and replacement priorities
Enable data-driven budgeting based on observed performance trends
Examples:
Assurance of meeting standards, risk reduction, 1000s unnecessary PM hours eliminated, risk-based frequency adjustments, prioritised vulnerabilities for elimination, prevention of breakdowns due to wear out
Applications
SECE Performance Standards
Demonstrate compliance with the Safety Case
Functional Safety
Replace assumptions with observed performance (IEC 61511)
Package/System Reliability
Uncover risks from multiple related asset types
PM Optimisation
Evaluate regime effectiveness, align effort with actual failures
Ageing insight
Track wear-out trends, plan renewals based on evidence and risk
Population of equipment types:
Shutdown valves (ESDV, BDV)
Deluge valve
Fire dampers
Fire & Gas detection devices
Pushbuttons and switches
Process instrumentation / transmitters
Control valves
Rotating equipment
Population of mixed equipment types:
Entire systems
Smaller packages, e.g. air compressors
Bigger packages, e.g. power generation sets or diesel driven fire pumps
Various populations of critical equipment
Insights Powered by Your People
How to start?
A pilot to demonstrate value-adding insights using your own data, typically delivered in 1 week.
info@assetreliabilityinsights.com
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