Related to "next generation product innovations"

Description:

Advantages of Fiber Optics: Fiber optic monitoring in wood drying provides significant benefits to traditional methods    


  • Test certificates for customer specification compliance    
  • Fiber optic sensors are immune to RF/ Microwave
  • Avoid RF waves burning the center of the beam
  • Continuous Monitoring for quality control  

Products used for this solution: Rugged Monitoring Products used in these applications 


  • Monitors: T 301
  • Sensors: Lsens – T, Rugged capillary
  • Software: Rugged Connect



Related Keyphrases:

customer specification compliance | Rugged Monitoring Products | beamContinuous Monitoring | Rugged capillarySoftware | Fiber optic monitoring | Fiber optic sensors | significant benefits | traditional methods | MicrowaveAvoid RF | Test certificates | quality control | Rugged Connect | MicrowaveAvoid | T 301Sensors | applications

Predictive maintenance differs from preventive maintenance because it relies on the actual condition of equipment, rather than average or expected life statistics, to predict when maintenance will be required.

Some of the main components that are necessary for implementing predictive maintenance are data collection and preprocessing, early fault detection, fault detection, time to failure prediction, maintenance scheduling and resource optimization.[3] Predictive maintenance has also been considered to be one of the driving forces for improving productivity and one of the ways to achieve "just-in-time" in manufacturing.[4]

Description:

Predictive maintenance differs from preventive maintenance because it relies on the actual condition of equipment, rather than average or expected life statistics, to predict when maintenance will be required.

Some of the main components that are necessary for implementing predictive maintenance are data collection and preprocessing, early fault detection, fault detection, time to failure prediction, maintenance scheduling and resource optimization.[3] Predictive maintenance has also been considered to be one of the driving forces for improving productivity and one of the ways to achieve "just-in-time" in manufacturing.[4]

Related Keyphrases:

Predictive maintenance differs | preventive maintenance | expected life statistics | early fault detection | resource optimization | failure prediction | actual condition | main components | data collection | driving forces | manufacturing | productivity | equipment | necessary

Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.[5] In energy production in addition to loss of revenue and component costs, fines can be levied for non delivery increasing costs even further. This is in contrast to time- and/or operation count-based maintenance, where a piece of equipment gets maintained whether it needs it or not. Time-based maintenance is labor intensive, ineffective in identifying problems that develop between scheduled inspections, and so is not cost-effective.

Description:

Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.[5] In energy production in addition to loss of revenue and component costs, fines can be levied for non delivery increasing costs even further. This is in contrast to time- and/or operation count-based maintenance, where a piece of equipment gets maintained whether it needs it or not. Time-based maintenance is labor intensive, ineffective in identifying problems that develop between scheduled inspections, and so is not cost-effective.

Related Keyphrases:

unplanned downtime costs | Predictive maintenance | maintenance activity | perform maintenance | condition monitoring | identifying problems | component costs | energy production | instance costs | labor intensive | ultimate goal | equipment | non delivery | inspections | performance