Petasense > Case Studies > Wireless Predictive Maintenance to Fix a Dated Walk-Around Program

Wireless Predictive Maintenance to Fix a Dated Walk-Around Program

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 Wireless Predictive Maintenance to Fix a Dated Walk-Around Program - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Enterprise Asset Management Systems (EAM)
  • Networks & Connectivity - WiFi
  • Sensors - Pressure Sensors
  • Sensors - Temperature Sensors
  • Sensors - Vibration Sensors
Applicable Industries
  • Life Sciences
Applicable Functions
  • Maintenance
Use Cases
  • Predictive Maintenance
The Customer
About The Customer
The Challenge

C&W Services was using a manual condition monitoring program at one of its leading life sciences’ client up until last year. At best, data was collected manually every 30 days, even on the most critical machines, using a handheld data logger. After the data collection, all of the data analysis had to be outsourced to a third party for analysis. This approach has several limitations:

1. Unplanned Downtime

2. Shortage of Manpower

3. Safety and Access to Machines

4. Inconsistent Readings Collected by Manual Processes

The Solution

After evaluating several options, C&W Services deployed Petasense’s IIoT-based PdM technology to monitor, analyze and predict the health of important industrial equipment such as AHUs, pumps, compressors, exhaust fans and chillers. C&W Services installed tri-axial vibration sensors called Motes, connected them to the facility’s Wi-Fi network and began receiving data and actionable intelligence instantly.

“The tri-axial data from the Motes improves the diagnostic capabilities by increasing the volume and variety of data available at your fingertips,” said Auton. “Also, when you take readings at the exact same time across multiple dimensions and machines, they become much more valuable.” “Further, it was very easy to install.” Auton was impressed by the intuitiveness, simplicity and elegance of the Petasense technology. The ease of implementation and its ability to run on LAN (IP 802.3 protocol) accessible everywhere was a huge value driver for the C&W Services team.

Operational Impact
  • [Process Optimization - Predictive Maintenance]

    C&W Services is now able to predict machine failures with the help of the system.

  • [Process Optimization - Real Time Monitoring]

    C&W Services is now able to optimize on resource allocation with reference from the data.

  • [Cost Reduction - Maintenance]

    C&W Services is now able to avoid unnecessary repair costs by understanding the accurate real-time situation of the machine.

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