1. Challenges – Power Supply in Production Power Quality and Measurement
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2. Fault in the calibration laboratory
Power supply quality
Use cases
Robot failure
Fault in the calibration laboratory
IT failure and production interruption
Conclusion – findings
Optimization with 3-stage concept "From transparency to higher productivity" "A small investment with a huge impact"
Outlook
August 2017

3. Use case 1: Robot failure
Scenario: Failure of laser robot
Implication: Production standstill, several production stops (30min. each) and troubleshooting for 2 weeks (10 mandays)
Consequences: Loss of time and additional costs caused by production stop, coordination efforts and burden of proof
Cause: Robot power supply unit fault
Remedy: Renewal of power supply unit
Conclusion: Finding cause and providing evidence with SICAM Q100 and SICAM Q200
Short current peaks cause enormous Non Conformance Costs (NCC) !
30A current peak at 2A In
August 2017

4. Use case 2: Fault in calibration laboratory
Scenario: Calibration measuring devices disturbed
Implication: Final device test cannot be performed
Consequences: Production standstill, delivery stop, delay penalty
Cause: Network faults in the calibration laboratory caused by switching the air conditioning compressor
Remedy: Installation of active network filters, modification of low voltage distribution
Conclusion: Clear pinpointing of the cause with SICAM Q200
HF transients lead to production standstill !
August 2017

5. Use case 3: IT failure and production interruption
Scenario: Individual production machines and IT infrastructure disturbed by voltage dip (150 ms)
Implication: Production standstill, IT failure, troubleshooting in several areas
Consequences: Loss of time and additional costs caused by production stop, coordination efforts and troubleshooting; IT failure for hours
Cause: Switching Operations at the EB transformer
Remedy: Retrofitting PQ devices, optimization of power supply
Conclusion: Clear pinpointing of the cause with SICAM Q100 / SICAM Q200
3-phase voltage dip of 150 ms causes IT crashes !
August 2017

6. Conclusion – findings
Fault power supply is often the cause of production disturbances,
as the 3 use cases prove.
Use case 3
Use case 2
Use case 1
August 2017

7. Achieving transparency Understanding the grid Increasing productivity
Optimization of power supply in 3 stages "From transparency to higher productivity"
Achieving transparency
Understanding the grid
Increasing productivity
Measurement
Production
Line 1
Line 2
Increase profitability by increased productivity and reduced downtimes:
Use of improvement potential discovered by analyses
Targeted planning and performance of maintenance measures
Substantiated planning of expansions
Identification of weak points:
Automated monitoring and analysis of power supply and facilities
Detect critical situations at an early stage
Providing data at the touch of a button:
Always have a clear view of the condition of all facilities, the current power consumption and power quality of the entire plant/factory
Optimization
Analysis
Your benefit
Monitoring
August 2017

8. Optimization of power supply in 3 stages "A small investment with a huge impact"
Transparency – Systematic and permanent PQ acquisition makes power supply transparent
Small investment – Targeted use of a small number of PQ devices enables comprehensive power supply monitoring
Huge benefit – Undisturbed production secures competitiveness and profit
August 2017

9. Outlook on cloud solution concept (Mindsphere)
Energy management
Identify anomalies
Automatic fault/pattern recognition in energy data
System settings and configuration 10 01 11 00 10 01 11 00 10 01 11 00
August 2017

10. Challenges – Power supply in production
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August 2017