Channel: MATLAB

Category: Science & Technology

Tags: matlabsimulink6297588716001mathworks

Description: A predictive approach to maintenance operations guarantees advantages such as reducing machine downtime, eliminating unnecessary interventions, and adding revenue streams for equipment vendors with aftermarket services. These benefits are achievable, but there are challenges in implementing predictive maintenance in application fields such as industrial robotics. One obstacle is the limited availability of functioning data and the lack of failure data needed for accurate results. In addition, choosing the best models for monitoring and prediction can be time consuming, and integrating devised algorithms with existing tools and infrastructures can cause a bottleneck in the implementation process. In this talk, we will analyze the benefits and challenges of predictive maintenance, and describe, via the exploration of a real case-study, the solution proposed by MathWorks to overcome these obstacles and realize efficient predictive maintenance systems. Watch the full series on Robotics for Smart Factory: youtube.com/playlist?list=PLn8PRpmsu08pha6xzZH_xP-UUAHVLFN7w Get a free trial of products featured in this video: - Robotics System Toolbox: bit.ly/3LKtLAM - Predictive Maintenance Toolbox: bit.ly/3MCcvxw -------------------------------------------------------------------------------------------------------- Get a free product trial: goo.gl/ZHFb5u Learn more about MATLAB: goo.gl/8QV7ZZ Learn more about Simulink: goo.gl/nqnbLe See what's new in MATLAB and Simulink: goo.gl/pgGtod © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.