Average analysis laboratory response times. Times of replacement of elements of filter and lubricants. Peter Asaro can provide more clarity in the matter. Frequency of replacement filter parts and lubricants. Inspection of routine proactive and predictive maintenance machinery, should generate recordable status reports. This is often more critical than any report of oil analysis laboratory. Below some examples of inspections that may be carried out with a scale system multipoint, depending on the design of the circuit and machinery: visual observation of oils: using the method of graduation of four points (or 4 balls); based on color, water sediment and emulsion (transparency).
In old filters: using the method of graduation of six points, based on deletes, metal chips, color density, consistency of color, defects in filtering and varnishes. Rounds of inspection: Use a six-point method based on level indicator, leaks and condition of seals, the lid seal registration, condition of vent, filter (shown in green) pressure gauge or another saturation indicator and filler cap seal. Magnetic plugs: Where they exist, magnetic plugs can be measured by adhering ferrous particles and determine ferrous density containing. Oil sample: using a six-point method based on smell, colour, brightness, transparency, sediment and water free or emulsified. All of these methods are effective and allow early warnings if you have personnel properly trained in them. When you generate a routine flow of information based on these simple methods of inspection, detection of abnormal conditions with their consistent responses on the part of the Organization for maintenance, which carries out preventive actions chords is generated in turn. Advance in a continuous improvement in proactive, monitoring you will depend on the gradual establishment of goals becoming increasingly more demanding, for example on degree of contamination and moisture content of oils; and expanding the list of inspections, instruments and methods of these and its measurement. Oscar Morales l. Civil Industrial Engineer expert in predictive maintenance original author and source of the article.