PdMA Summit

Initially slower to catch up with the #datadriventransformation, the #heavyassetindustry has certainly accelerated the adoption of #predictiveanalytics systems that provide multiple maintenance advantages. ow.ly/FtN550CVnEZ #MaintenanceAnalytics #PdMA #PdM @PdMASummit #IoT

These are the companies that have led with thought and practice in the field of #predictivemaintenance in 2020.🔧📊 ow.ly/BzPB50CMM8D #MaintenanceAnalytics #PdMA #PdM #IIoT #IndustrialIoT #PdMAAutomation #ConditionMonitoring #PredictiveAnalytics #DataDriven @PdMASummit

Victoria Chudinov, Former Data Scientist at DSB Digital Labs, presented how #IoT and #ML can be put to use for predicting and preventing suicides and accidents at the @PdMASummit 2020. youtube.com/watch?v=o5__bO2O… . . . #MaintenanceAnalyticsSummit #PdMASummit2020 #PredictiveAnalytics

Renato Magliacani & Federico Puccetti from @bakerhughesco unpacked their journey towards becoming a #datadrivenfactory with a core of a cross-functional team of data scientists and #manufacturing engineers. youtube.com/watch?v=OBTVbzCl… . . . @PdMASummit #MaintenanceAnalyticsSummit

Niklas Olsson, Head of Data & Mobility Services at Scania Group, gave a brief look at the journey they have done within Scania together with their customers towards data driven uptime at the @PdMASummit 2020. youtube.com/watch?v=IQBtvZvs… . . . #IIoT #IndustrialIoT #ConditionMonitoring

Julian Zec described how to develop a predictive maintenance programme aligned to the PoV process at the @PdMASummit 2020. youtube.com/watch?v=T63iIvI5… . . . #MaintenanceAnalyticsSummit #MaintenanceAnalyticsSummit2020 #PdMASummit #PdMASummit2020 #MaintenanceAnalytics #PdMA

Diego Galar closes the 3rd virtual edition of the @PdMASummit summarising the topics and laying forward some expectations for the upcoming years, starting from maintenance in the Industry 4.0, AI, the question of the complexity of digitalisation. See you next year! #PdMASummit

What is #prognostics? - A prediction of the occurrence of some event of interest to the system. Kai describes the type of events and the goal of prognostics in the industrial context. @PdMASummit #predictivemaintenance #assethealth #PdMASummit2020 #MaintenanceAnalyticsSummit

"#IndustrialAI addresses several pain points in value creation, productivity improvement and insight discovery," states Kai Goebel from @PARCinc in his session while listing the aspects where #AI is deployed, the goals and AI technology areas at @PdMASummit. #PdMASummit2020

"Predictive maintenance is hard, even with the right tools," states Konstantinos Michail from @Nilfisk in his session at @PdMASummit. He is presenting elements, challenges and pitfalls with cloud implementation for predictive maintenance. #PdMASummit #predictivemaintenance

Dr. Sarah Andreas is currently presenting how they develop #deeplearning models for detecting anomalies at @Airbus Airbus in her session at the virtual @PdMASummit. #timeseries #anomalydetection #PdMASummit #MaintenanceAnalyticsSummit2020

In order to know the health condition of an aircraft it is equipped with numerous sensors that provide readings in time-series data in which patterns are found to detect anomalies. Sarah Andreas from @Airbus explains statistical and deep learning methods for this at @PdMASummit.

"When barriers and fences are not enough to save lives, we start using #IoT, #analytics and all #smarttech we have." - Victoria explains what are possible solutions based on sensors, cameras with object recognition, thermal train sensors and behaviour tracking. @PdMASummit

IoT can save lives from train accidents. Victoria Chudinov from DSB Digital Labs is currently talking about a project they work on for saving human lives at the train tracks by using IoT at @PdMASummit. #IoT #PdMASummit #PdMASummit2020

"Industry 4.0 is a journey - it's not a software product that can be installed, but a mindset that needs to be adopted." - Renato Magliacani talking about their digital journey at @bakerhughesco at the @PdMASummit.

.@bakerhughesco's Manufacturing Intelligence Center involves several capabilities: real-time status, measuring KPIs, tracking & trends of systems and downtime data analysis. - Federico Puccetti explains the process of their maintenance operations at @PdMASummit. #PdMA #PdMA2020

"To become a Brilliant Factory, @bakerhughesco introduced the Manufacturing Intelligent Center in which digital tech teams, operations and data scientists work together to transform data from the machines into insights." Renato Magliacani and Federico Puccetti at @PdMASummit.

"When developing a #CBM programme, you need to identify the level of operational factors you need to collect and input into your models and predictions." - Niklas Olsson discussing how they at @ScaniaGroup achieved data-driven uptime with condition-based maintenance. @PdMASummit

When developing their #conditionbasedmaintenance programme, @ScaniaGroup start with the value. "While our customers find #value when their vehicles are on the road, we find it when the vehicle stands still. -Niklas Olsson talks on @ScaniaGroup's data-driven uptime at @PdMASummit.

When developing #maintenanceoptimisation programmes, there are 3 #stakeholders that need to be involved. #Maintenance programmes should be both profitable and create the right value for the client. -Julian Zec talks about solutions for developing aligned maintenance. @PdMASummit