In process testing and digital waveform analysis isn’t only for discrete manufacturing where each part is serialized. Ron Pawulski explores how it can also be used to improve yield and quality control in pharmaceutical and medical device batch manufacturing.
John Perkins recaps a use case for noise, vibration and harshness (NVH) testing. A multi-channel sigPOD platform with a strategically located accelerometer helped a wheelchair manufacturer catch problems with motors and gearboxes during production to avoid warranty claims.
John Perkins cites a use case for noise, vibration and harshness (NVH) testing. Digital process signature analysis using an accelerometer is put to the test against the traditional microphone approach to catch nicked gears in automotive transmissions on the line during production.
Remember that Jurassic Park character, Nedry, who built an IT system no one else could manage? Joe Ventimiglio discusses how machine builders can avoid this mess by not trying to scratch-build a data-driven quality assurance system for a customer.
Machine builders are always struggling to stay on budget, on schedule and on spec with their manufacturer customers. Joe Ventimiglio discusses how incorporating the data-driven quality management of Industry 4.0 into their builds can save them a lot of grief.
We give a primer on how comprehensive data collection from across the plant floor, coupled with digital process signature analysis, can achieve the sometimes contradictory goals of reduced production costs and improved quality.
Patrick Chabot argues why repair bay operations must be viewed as much more than a reactive function, with technicians waiting to address individual problems as they arise. Industry 4.0 demands a more proactive and holistic approach.
Leak testing is a quality assurance process notorious for reliability and repeatability challenges. Steve White discusses how and why Sciemetric includes a self-test function as part of its 3520 Leak Test System, to quickly diagnose any issues that may compromise reliability.
Ron Pawulski explores how poor control of test pressure is one of the most common causes of repeatability issues with leak testing. The answer? Digital smart sensors and software that constantly monitor and adjust to compensate for any variations.