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Remote Monitoring Industrial Systems

 
A strong maintenance and reliability program is critical for continuous operation of any plant.  With the proper policies and procedures, unplanned downtime can be substantially minimized, consequential damage significantly reduced and maintenance budgets lowered. 
Over the past 50 years there has been tremendous improvement in maintenance and reliability programs.  Post World War II, equipment was run to failure and then repaired.  The next generation of maintenance and reliability focused on preventative or time based maintenance. This calls for repairing and overhauling a component on specific time intervals (e.g., semi-annually) irrespective of the condition of the equipment.  Preventative maintenance was industry standard from the 1950's through the 1980's.
 
There were several major lessons learned during this period.
  • Human intervention was one of the leading causes of failures.
  • Time based maintenance required high levels of downtime for overhaul and repair of components.It also required a large maintenance budget to support parts and labor costs.
  • One of the most critical lessons learned was that there are at least six failure patterns.

These lessons led to the third generation of maintenance and reliability, which focuses on condition monitoring and Predictive Maintenance (PdM). 

Predictive Maintenance (PdM) techniques help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach offers cost savings over routine or time-based preventive maintenance because tasks are performed only when warranted.

Azima is the leading provider of Web-based, wireless monitoring and diagnostic services for critical industrial equipment which is essential for PdM. They are able to deliver the earliest possible notification of equipment failure by combining wireless monitoring technology, secure Web-based analytical tools, and actionable advice from world-class diagnostic experts. Azima's comprehensive knowledge-based approach results in substantial cost savings, improved machine reliability, and an overall increase in plant efficiency.  
For further information please follow the link to visit the Website of Azima Inc.
 
                                                                                                      
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