The LaserNet Fines-C (LNF-C) uses laser imaging techniques and advanced image processing software to identify the type, rate of production, and severity of mechanical faults by measuring the size distribution, rate of progression, and shape features of wear debris in lubricating fluids.
Applications of The LaserNet Fines-C
Machine condition monitoring based on oil analysis has become an accepted practice in any well run maintenance management program. With knowledge of the wear metals and contaminants present in a lubricating system, it may be determined if that equipment is operating properly or if preventive maintenance is required. LaserNet Fines combines the standard oil analysis techniques of particle counting and shape classification into a single analytical instrument. Lockheed Martin Tactical Defense Systems developed LaserNet Fines in cooperation with the Naval Research Laboratory for the Office of Naval Research on its Accelerated Capabilities Initiative for Condition-Based Maintenance.
Features of the LaserNet Fines-C include:
- Provides ISO Code 4406 (1999) for particles >4, >6 and >14 ėm
- Algorithms to perform shape analysis, wear particle identification and machine condition assessment
- Large particles are classed by a neural network as cutting, fatigue, severe sliding, nonmetallic, free water droplets or fibers
- Provides image maps of all particles greater than 20 ėm
- Can handle particle concen- trations over 5,000,000 particles/ml
- Automatic adjustment for fluid darkness. Sees through black diesel lubricating oils
- Measures soot content in used diesel engine lubricants
- Can handle fluid viscosities up to 150 ISO grade without dilution
- Built-in data-base for machine condition trending
- Data outputs include particle type identification, image maps, size trends and NAS, NAVAIR and ISO cleanliness codes
- Magnification is set at factory.
