Condition monitoring for industrial motors
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Agriculture
- Equipment & Machinery
- Utilities
Applicable Functions
- Discrete Manufacturing
- Facility Management
- Field Services
- Maintenance
- Process Manufacturing
Use Cases
- Advanced Metering Infrastructure
- Asset Health Management (AHM)
- Asset Lifecycle Management
- Machine Condition Monitoring
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
About The Customer
Customer is is an Indian motor company with expertise in manufacturing & design of customized electric motors and drives. Focused around Industrial automation, Energy saving & Pumping, they takes focused interest in technological innovations in electromagnetic mobility. Customer lays the foundations for an intelligent of smarter, reliable, and emission-free mobility, which is based on intramural technology. Customer offers powertrain solutions from 2Wheelers, 3 Wheelers, 4 Wheelers, buses and off road vehicles, designed to meet highest efficiency and power density.
The Challenge
- captures vibration & other environmental data in real time through sensors installed on various components of industrial equipment like Turbines, pumps
- generates insights to help predict downtimes and thereby enable customer to maintain systems health & equipment efficiency.
- processes the high volume, high frequency data to monitor, analyze & alert about machine condition.
The Solution
- Automated data collection: The ability to automatically collect data from multiple sensors and equipment and ensures that data is accurate and consistent.
- Dashboards: dashboards and reports that provide real-time insights into equipment health and performance. Cloud-based architecture - A cloud-based architecture provides the flexibility to scale up or down as required.
- Advanced analytics: The ability to apply advanced analytics techniques, such as machine learning, to the vibration data can provide deeper insights into equipment performance and health.
Data Collected
Asset Condition, Asset Performance, Asset Status Tracking, Device Diagnostic Status, Motor Metrics
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Intelligent Farming with ThingWorx Analytics
Z Farms was facing three challenges: costly irrigation systems with water as a limited resource, narrow optimal ranges of soil moisture for growth with difficult maintenance and farm operators could not simply turn on irrigation systems like a faucet.
Case Study
IoT Solutions for Smart City | Internet of Things Case Study
There were several challenges faced: It is challenging to build an appliance that can withstand a wide range of voltage fluctuations from as low at 90v to as high as 320v. Since the device would be installed in remote locations, its resilience was of paramount importance. The device would have to deal with poor network coverage and have the ability to store and re-transmit data if networks were not available, which is often the case in rural India. The device could store up to 30 days of data.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Automation of the Oguz-Gabala-Baku water pipeline, Azerbaijan
The Oguz-Gabala-Baku water pipeline project dates back to plans from the 1970’s. Baku’s growth was historically driven by the booming oil industry and required the import of drinking water from outside of the city. Before the construction of the pipeline, some 60 percent of the city’s households received water for only a few hours daily. After completion of the project, 75 percent of the two million Baku residents are now served around the clock with potable water, based on World Health Organization (WHO) standards. The 262-kilometer pipeline requires no pumping station, but uses the altitude differences between the Caucasian mountains and the capital to supply 432,000 m³/d to the Ceyranbatan water reservoir. To the people of Baku, the pipeline is “the most important project not only in 2010, but of the last 20 years.”
