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On the manufacturing line, the struggle to test for and address leaks that lead to faulty parts and warranty claims is nothing new — but rising expectations for product quality and reliability are putting leak tests to the test. How can quality engineers meet Industry 4.0 requirements for emission control, performance and reliability while coping with increased production volumes that demand shortened cycle times? Make the test better with data.

This e-book explores why manufacturers must collect waveform data to enable faster, more efficient and reliable leak testing. We explain how waveform enhances quality control and continuous process improvement using signature analysis and big data analytics.

Using case examples, we explain how signature analysis can help you reduce leak test cycle times, hit gage R&R targets, accelerate test station deployment, provide full birth history traceability, tackle variables like seasonal temperature variations, and simplify data modeling and simulations for continuous improvement.

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