An ounce of prevention…
No matter what industry you are in, Parker has a condition monitoring solution to fit your unique needs and budget.
Preventing system shut down and costly repairs. Keeping employees safe. Keeping production lean.
What’s that worth to you?
Automotive Industry: SensoNODE using Voice of the Machine
Automotive facilities are designed to operate like a perfectly tuned engine. But if any parts, machines, or systems encounter performance issues, it can impact component parts, quality, and the entire production line.
Parker’s condition monitoring solutions are engineered to accurately monitor machine performance and alert of any deficiencies to prevent bottlenecks and reduce unscheduled downtime.
In-Plant Manufacturing: SensoControl
The health of plant equipment and machinery is paramount, especially when those systems are heavily relied upon to delivering goods on time. The cost of unexpected downtime can be astronomical and result in unsatisfied customers looking elsewhere for services.
Production delays can be averted with the implementation of predictive maintenance solutions. Parker’s condition monitoring tools ensure systems operate effectively and indicate minor issues before arising into serious problems.
Injection Molding: SensoNODE using Voice of the Machine
As the demand increases for more complex injection molding products, the injection molding process is becoming more sophisticated to keep pace. And with multiple points in the process that can impact product production and quality, monitoring these points is more important than ever.
IoT-based condition monitoring solutions can improve productivity and quality in injection molding operations.
Construction Industry: SensoControl
Rotating machine components are at the core of mobile equipment. Hydraulic assemblies, belts, gears, pump systems and motors are constantly in motion and most susceptible to disruptions. Minor problems detected early can be corrected before escalating into serious issues, resulting in unplanned downtime.
Condition-based predictive maintenance can maximize machine availability and performance while greatly reducing the cost of downtime and unscheduled service repairs.