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5

Ferrography

One of several techniques for collecting data on the condition of an asset .

For determining the size distribution and type of wear particles as part of an oil analysis program

The basis of modern oil analysis is the use of optical emission spectroscopy (OES) to measure the ppm (parts per million) levels of wear metals, contaminants and additives in oil samples.


Purpose


Process
This technique analyzes the particles present in fluids that indicate mechanical wear.  

      A. Before Analysis
  • Purchase equipment or engage contractor
  • Train staff
  • Determine sample size, location and interval
      B. During Analysis
  • Take the sample
  • Send sample off for analysis  
  • Analyze the results - chemical composition of the used oil
  • Grade the results
      C. After Analysis
  • Make maintenance decisions
  • Determine CAPA's, if any
  • Determine next assessment interval

Conditions & Condition Grades
Listed below are the condition grades for this technology
  • Not applicable
  • Signal detected

Attributes
Listed below are some of the key attributes of ferrography that should be taken into consideration when integrating this into the overall asset management program:

Evaluation
A comprehensive monitoring program usually includes ferrography (oil analysis).

Pros

Cons
  • Equipment is costly




Candidate Assets
Listed below are some of the different types of candidate assets for oil analysis:

      A.  Mechanical Assets
  • Gear boxes
  • Pumps
      B.  Other Assets


Ferrography as one of the predictive maintenance (pdM) technologies along the P-F Curve in relation to Potential Failure (P) and Functional Failure (F)
Fig. Ferrography as one of the predictive maintenance (PdM) technologies along the P-F Curve in relation to Potential Failure (P) and Functional Failure (F).

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