Course Structure
The course (see outline), called “Achieving Reliability from Data” is comprehensive. It provides a maintenance manager or engineer with confidence in his knowledge of each reliability related topic that is relevant in a practical maintenance environment. The course has four modules. Each module is a stepping stone to the subsequent challenge. The last module completes the goal – to achieve practical, verifiable reliability from the analysis of data.
- Maintenance decisions. A clear and eye opening discussion of exactly what a maintenance decision is. We introduce right at the start the idea of a verifiable policy for good decisions. – about 45 minutes to an hour.
- Initial RCM. RCM constitutes the precise the language of maintenance The theory and practical aspects of RCM are provided. There are hands-on exercises using cloud software for each of the 7 RCM questions. Of particular importance is learning the proper balance of detail within a defensible RCM analysis. Without this understanding an RCM project risks superficiality or will become bogged down in unnecessary detail. – about 1-1/2 days. Cloud software.
- Living RCM. Living RCM extends the initial RCM conceptual framework that participants will apply to day-to-day maintenance work order practice. This module expands upon RCM concepts and answers two vital questions for the maintenance manager or engineer.
- How to keep the RCM analysis and corresponding EAM catalogs current, and
- How to ensure accurate, relevant work order historical data in the EAM for subsequent reliability analysis. – 1/2 day. Cloud software.
- Reliability analysis. Continuously improving maintenance effectiveness does not happen by accident. Without analysis there can be no increase in performance. Now that Living RCM will have ensured analyzable data, this module will train engineers in these essential areas of analysis: – about 1 day
- Age based analysis: Weibull analysis, PM optimization. Educational software version.
- Condition based analysis: Extending Weibull to include relevant condition based maintenance data. Understanding how to develop a CBM decision policy. Monitoring the performance of a CBM policy. Evaluation software.
- RAM analysis: (Optional) Models for optimizing maintenance for structural changes in plant configuration. Public domain software.
- Root Cause analysis: (Optional) A structured evaluation (NASA) method that identifies the root causes for an undesired outcome and the actions adequate to prevent recurrence.
Every participant will receive perpetual access to a complete set of continuously updated course notes and videos (accessible from the course outline). As well, the participant will have access to the educational versions of OREST and EXAKT.
Downloads:
The course will benefit all maintenance organizations.
RCM Exercises using Mesh or Meshtest:
- Recommended browser: Firefox, Chrome
- If using Microsoft Edge, Internet Explorer mode (settings, Default browser, Internet Explorer mode pages, add:
- https://storegalore.ddns.net/mesh
- https://storegalore.ddns.net/meshtest
## Post Tree Navigation
LRCM
- CMMS Impediments to Reliability Analysis
- Components of continuous improvement
- How to start LRCM
- Justifying Living RCM Certified
- Leading and lagging performance numbers
- Living RCM Certified – Consulting Services
- LRCM – Reporting failure modes of rotable components
- LRCM and HSE
- LRCM Justification Template
- LRCM reliability analyst survey results
- LRCM reliability technician survey results
- MESH – RCM knowledge continuous improvement
- Motivation, leadership, training
- PAS-55
- RCM – Dashboards
- Reliability engineer’s work cycle
- Service vs. maintenance
- Streamlined RCM and LRCM
- Structured free text
- The role of media in living RCM
- The winning paper at the XIV International Congress of Maintenance
- Two philosophies in maintenance improvement
- Waiting for CMMS maturity
- What is a pilot project?
- What is the difference between RCM and LRCM?
- Achieving Reliability from Data outline with video
- Course brochure – Living RCM Certified
- Deepwater Horizon
- Elevator description of LRCM
- How does LRCM “improve” RCM?
- Living RCM Certified
- Living RCM Certified eLearning
- Living RCM Certified® and ISO 14224
- LRCM – off the maintenance improvement radar
- LRCM-EXAKT – a general solution
- MESH Basic reliability analysis on the work order
- Mesh Living RCM Certified brochure – Mesh Cloud Service
- Obtener confiabilidad a partir de los datos – esquema del curso
- RCM – Analyst course outline
- RCM – feedback suggestion mechanism
- RCM – Living RCM
- RCM – LRCM dashboards
- RCM – feedback – suggesting a new failure mode
- Training course in achieving reliability from data
- Two kinds of decision making in maintenance
- Two LRCM purposes
- Videos
- Why Living RCM works
RCM
Reliability Analysis
- Achieving Reliability from Data
- Challenges to Achieving Reliability from Data
- Data analysis precedes reliability analysis
- Data is the key to the way forward
- Defeating CBM
- Does historical age data have value?
- Failure declaration standards
- Free text on the work order
- How much data is required for RA?
- How to assess EAM and CBM predictive capability
- Interpreting failure data
- LRCM – Reporting failure modes of rotable components
- Maintenance software
- Mesh: 12 steps to achieving reliability from data
- RA requires LRCM
- Reliability analysis in 2 dimensions-Part 2
- Sample selection
- So you’re getting an EAM
- Take the EAM data health check
- The CMMS barrier to RCM
- The data barrier to analysis
- The reliability data Catch 22
- Thoughts from a mine maintenance engineer
- Variations in a sample
- Warranty for haul trucks
- Weibull exercises
- What’s the right data?
- A survey of signal processing and decision technologies for CBM
- Achieving reliability from data
- CBM Defined
- Conditional failure probability, reliability, and failure rate
- Conditional probability of failure
- Conditional probability of failure vs. hazard rate
- Criticality analysis in RCM
- Diagnostics versus prognostics
- Difference between LRCM and EXAKT
- EXAKT’s Three Modules
- Expected failure time for an item whose maintenance policy is time-based
- Failure analysis for reliability analysis
- Failure probability prior to attaining MTTF
- FAQ
- FMEA according to Wikipedia
- Is “random failure” really random?
- Leading and lagging performance numbers
- LRCM and the Failure Finding Interval
- MTTF is the area under the reliability curve
- Myths about RCM in heavy mining equipment
- Non-rejuvenating events
- Optimal PM and spares strategies – exercises
- Performance metrics – Low and High level KPIs
- Problem statement
- Purpose of RA
- RA – Micro (day-to-day decision) analysis
- Random failure and the MTTF
- Random failure is exponential reliability decay
- RCM – Living RCM: Achieving reliability from data
- RCM vs RA
- Real meaning of the six RCM curves
- Reliability analysis is counting
- Reliability trend yes Weibull analysis no
- Remaining Useful Life Estimation Using Hybrid Monte-Carlo Simulation and Proportional Hazard Model
- Safety Instrumented Systems
- TBM or CBM?
- Terminology in LRCM
- Thinking RCM
- Time to failure
- What is PM?
- What is the scale parameter?
CBM
- A survey of signal processing and decision technologies for CBM
- Automating CBM
- Building a CBM decision model
- CBM Exercises
- CBM Optimization
- Combined analysis for early predictive maintenance
- Deploying the CBM model
- EXAKT cost sensitivity analysis
- EXAKT needs LRCM
- EXAKT vs Weibull
- Measuring and Improving CBM Effectiveness
- Optimizing a Condition Based Maintenance Program with Gearbox Tooth Failure
- RCM – Reliability analysis in more than two dimensions is CBM
- Smart CBM demo
- What is Maintenance Decision Automation?
- Confidence in predictive maintenance
- Diagnostics versus prognostics
- Inspections – CBM and others
- Inspections or CBM?
- Internal and external CBM variables
- NAVAIR and the PF interval
- Objectivity in condition based maintenance decisions
- Optimized interpretation of CBM data
- P-F Interval a red herring?
- PF interval from the failure rate
- PM, PdM, Proactive Maintenance
- Predictive analytics
- Temporary fix work orders
- The elusive P-F interval