Using Modelling and Simulation as an Alternative to Big Data RRAMAC Connected Systems will present on big data, machine learning and simulation based approaches to predictive maintenance at the 2019 AI Manufacturing Conference on Wednesday, August 28 at 1:35pm. As a provider of Industrial Internet of Things (IoT) solutions including predictive maintenance, RRAMAC Connected Systems
Reduce Operating Costs in Water and Wastewater Facilities with Cloud Hosted SCADA Are you interested in replacing your traditional SCADA system with cloud hosted SCADA to improve operations at your facility? SCADA has been the defacto standard for running water and wastewater (W/WW) facilities for several decades, but the fact is that many municipal
Rotary Screw Compressors Case Study CHALLENGE A prospect company required better uptime and predictive prescriptive condition based maintenance for generating compressed air as a service. SOLUTION A real-time predictive IoT model was used to address these needs on a compact platform. This platform enabled the company to read equipment sensor and set point parameter data
RRAMAC has been providing predictive maintenance solutions for over a decade, covering a broad range of industries and applications. There are three basic techniques for implementing predictive maintenance including condition monitoring, machine learning and simulation. The Simulation approach to predictive maintenance leverages human knowledge of cause and effect relationships which apply to the specific machine
RRAMAC Connected Systems has introduced a new partnership with Summit Industries, Inc. This partnership will combine RRAMAC’s turnkey remote monitoring and IoT-based solutions for predictive maintenance and overall equipment effectiveness (OEE) with Summit Industries’ cyber security and automation control products and expertise. “Summit Industries has been in the automation business for 50-years, but unlike many
RRAMAC Connected Systems, a provider of turnkey remote monitoring solutions that leverages the Industrial Internet of Things (IoT) is pleased to announce a new strategic partnership with In-Position Technologies. This partnership will combine RRAMAC’s web hosting, data analytics, predictive maintenance, and mobile app capabilities with In-Position Technologies’ automation and robotics offerings to provide a complete
HOW PRESCRIPTIVE ANALYTICS IN THE WATER / WASTEWATER INDUSTRY LED TO $150K SAVINGS CHALLENGE A wastewater client utilizing a horizontal pumping system (HPS) for wastewater injection was experiencing catastrophic failures of individual pump components. These failures brought excessive downtime and maintenance expense every 4 months. SOLUTION To address the frequency of catastrophic failures, RRAMAC and
Remote monitoring of construction equipment reduces maintenance, service and internal costs. The ability to monitor heavy equipment, track and predict maintenance, protect yourself against unjust warrantee claims and streamline communication between the OEM and end user all produce cost savings for those in the construction equipment industry. Protect Against Unjust Warrantee Claims Most heavy industrial
RRAMAC to participate in roundtable session during the Pacific Design & Manufacturing Trade Show RRAMAC will participate in an interactive roundtable session on the Industrial Internet of Things (IoT) and Cybersecurity on Wednesday, February 6 at 1:15pm during the Pacific Design & Manufacturing trade show. The IIoT can benefit your company by increasing productivity and reducing operating
Predictive IoT Solution Case Study: Reaction Injection Molding Equipment Challenge A manufacturer of high-performance aftermarket automotive parts was having problems with its two-part reaction-injection molding (RIM) mixing nozzles clogging. The situation led to excessive costs in increased downtime, waste and labor. Solution To overcome these challenges, a custom built hosted software solution was used to
