Overview
ISO 13381-1:2015 - "Condition monitoring and diagnostics of machines - Prognostics - Part 1: General guidelines" provides international guidance for developing and applying prognostics in machine condition monitoring. The standard frames common concepts and terminology for estimating time to failure (ETTF), remaining useful life (RUL) and associated confidence levels, enabling developers, providers, users and manufacturers to share consistent approaches for predictive maintenance and diagnostics.
Key topics and technical requirements
ISO 13381-1:2015 focuses on conceptual guidance rather than prescriptive methods. Major technical topics include:
- Prognosis concepts: definitions (prognosis, prognostics, ETTF, RUL, predictive horizon), decision end‑points, and the need to define failure in terms of monitored parameters.
- Data requirements: recommended data collection covering equipment population and specifications; monitored parameters; historical operation, maintenance and failure data; future duty/operating regimes; alarm and trip limits; damage initiation and progression data; environmental and manufacturing configuration data (items a–p).
- Failure and deterioration models: guidance on modelling failure‑mode behaviour, analytical damage models and statistical approaches suitable for prognostics.
- Prognosis process: a generic process model (pre‑processing, existing and future failure mode prognosis, post‑action prognosis) and requirements for producing a prognosis report.
- Multiple‑parameter analysis: integrating several condition indicators and influence factors to improve RUL estimates.
- Confidence levels: methods to express certainty (figure of merit) and to communicate prognostic confidence to users.
- Initiation criteria and thresholds: setting alert/alarm/trip limits and initiation criteria for failure‑mode detection.
Normative references include ISO 17359, ISO 13372, ISO 13379-1 and ISO 2041.
Practical applications
ISO 13381-1:2015 is designed to support organizations applying prognostics for:
- Predictive maintenance and condition‑based maintenance planning.
- Asset health management and lifecycle planning (spare parts, downtime scheduling).
- Reliability analysis, FMEA/FMECA and failure investigation.
- Algorithm development and validation for prognostic models (data scientists and engineers).
- Training and system design to standardize prognostic terminology and reporting.
The standard helps improve decision‑making by linking monitored data and failure models to practical maintenance actions, cost‑benefit assessment and safety planning.
Who should use this standard
- Reliability, maintenance and asset managers
- Condition monitoring engineers and diagnosticians
- System integrators and prognostics software developers
- Manufacturers and OEMs designing monitoring solutions
- Data scientists working on RUL/ETTF modelling
Related standards
- ISO 13381-2 (performance/trending approaches) - planned
- ISO 13381-3 (cyclic life usage techniques) - planned
- ISO 13381-4 (useful‑life‑remaining models) - planned
- ISO 17359, ISO 13372, ISO 13379-1, ISO 2041
Keywords: ISO 13381-1:2015, prognostics, condition monitoring, RUL, ETTF, predictive maintenance, failure modes, confidence level.
Open preview (PDF)Condition monitoring and diagnostics of machines — Prognostics — Part 1: General guidelines