Every year, manufacturing processes get leaner to ensure companies stay competitive. Part of that is to keep assets working and avoid shutdowns as much as possible. But without a solid predictive maintenance plan in place, you’re subject to one of two things:
- Mandatory shutdowns for routine maintenance to help prevent asset failure
- Waiting for something to happen, then reacting
Diagnosing a problem before it occurs is the primary objective. For this, having a steady flow of data that can be analyzed is crucial to help maintenance technicians make informed predictions of when something needs attention. For years, Parker’s SensoControl® product line has been one of the most versatile diagnostic solutions for hydraulic and pneumatic applications. And now, one of the more popular devices is even stronger.
ServiceJunior™ CONNECT … fast, accurate, and wireless
With the Internet of Things becoming the gold standard in innovation, wireless diagnostic solutions are giving companies an edge in predictive maintenance. The ServiceJunior™ CONNECT is such a solution.
An integrated digital pressure sensor, ServiceJunior CONNECT features min/max memory capability, and with a scan rate of 10ms, ServiceJunior provides increased accuracy and faster frequencies to diagnostics. Its backlit, digital readout is more accurate than a mechanical diagnostic gauge, and because it works seamlessly with SensoNODE™ Blue Sensors and SCOUT™ Mobile Software, users can:
- export records and proof-of-work statements
- set alarms and send notifications
- create/view trend graphs and asset records
In addition to all the benefits associated with a wireless diagnostic solution, ServiceJunior CONNECT is available in four versions with varying pressure ranges, making it ideal for hydraulics and pneumatics. ServiceJunior CONNECT is also scalable and expandable, and there’s no need to reconfigure your wired infrastructure.
Learn More
To learn more about Service Junior CONNECT, download the product bulletin or Visit our website
Download our product catalog to learn about condition monitoring for predictive maintenance.
This blog was contributed by Tad Orstad, applications engineer, SensoControl and SensoNODE products, Parker Hannifin.
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