Page 14 - QX Series

INSIGHTqcx™ Cordless Controller Capabilities

Torque/Angle Control
Software Capability
Standard F M FM Standard F M FM
Embedded Software     Factory Reset    
Home Screen     Network System    
Discovery
JOB Setup     License Update    
PSET Setup     License Activate    
Multiple Tightening Date & Time
Strategies     Settings    
Quick Programming     System    
Initialization
Advanced IP Address
Programming     Settings    
Cycle Results     Digital IO     Prevailing Torque
Settings
JOB Results     EOR Data Out    
Audit Log     Barcode    
Event Log     User Management    
System Diagnostics     System Logs  
Tool Diagnostics     Fieldbus  
Diagnostics
Digital IO Diagnostics     Fieldbus Settings  
Statistics Settings     Ethernet IP  
Statistics Summary     ProfiNet  
Statistics Alarm ProfiBus
Settings      
Statistics Alarm     DeviceNet  
Summary
Backup and Restore     MES Protocols  
Settings
Firmware Update     Open Protocol  
Preventative ToolsNet
Maintenance Alarms      
Tool Calibration     VW XML 2.1  

Statistical Process Control
Statistic Description
Status
Mean Statistical average - used to derive the central tendency of the tightening data of
a particular PSET
Capability Calculated as (6* sigma / Mean) * 100 on a particular PSET
Pass % Indicates the % of the cycles that have a cycle result of PASS from the sample
population of a particular PSET
Fail % Indicates the % of the cycles that have a cycle result of FAIL from the sample
population of a particular PSET
Mean Shift Calculated as: MEAN Result Value - TARGET Result Value for a particular PSET
Range Calculated as: MAX Result Value - MIN Result Value of a particular PSET.
Standard
Deviation (σ) The calculated standard deviation (σ) of the Result Value of a particular PSET.
PP Process Performance, calculated as: (USL - LSL) / (6 * σ)
CAM Calculated as: (USL - USL) / (6* (W / d * S))
PPK Process Performance Index, Calculated as: MIN (( MEAN - LSL) / (3 * σ) OR (USL
- MEAN) / (3 * σ)

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