Proactive in cutting costs (1st September 2011)

A Predictive Maintenance (PdM) programme can bring savings in maintenance costs and result in a reduction in downtime.However, John Atkinson of C-Cubed believes that by moving to Proactive Maintenance companies can reduc

From Plant process control

  Inspection unit (1st January 2011)

The handheld Pocket Inspection unit from C-Cubed is said to be ultra rugged (waterproof and dropresistant) and has a high resolution colour display with both touchscreen and keypad entry capability. The software is easy

From Plant process control

  Inspection systems (1st May 2010)

C-Cubed will be demonstrating a full range of maintenance tools from condition based maintenance systems to laser alignment for rollers and pulleys, on site balancing equipment for motors, fans and pumps and lube monito

From Plant process control

Tools on show (1st January 2010)

A new predictive maintenance tool has been introduced by C-Cubed.

From Efficient Maintenance

Reading between the lines (1st May 2009)

It is all very well attempting to make spot diagnoses of bearing wear but, according to John Atkinson of C-Cubed, the only true way to determine when a bearing is due to fail is to trend the readings over a period of time.

From Efficient Maintenance

  Data collection (1st March 2009)

Mtec 2009 will see C-Cubed launch Data Decypher, an easy to use Plant Data Collection System. The all-inone Maintenance Information System has wide ranging capabilities, from checking everything has been done correctl

From Plant process control

  Vibration check (1st January 2009)

C-Cubed will be launching version 9 of its PocketVibrA, a vibration analysis and condition monitoring tool for predictive maintenance, designed to boost machine uptime.

From Plant process control

  Predictive maintenance (1st July 2007)

C-Cubed has launched its Pocket VibrA V6, designed to show up machine faults such as unbalance, misalignment and looseness. It also gives indications of bearing quality, based on internationally accepted methods. Alarms

From Plant process control