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Press Release10 May 2022Digital IndustriesNuremberg
AI-based service edge app
from Siemens for higher availability of drives
Predictive Service Analyzer provides information about anomalies in the drive system
Increased plant availability by up to 30 percent through reduced production downtime
AI-based algorithm for drive systems
As part of Predictive
Services for Drive Systems, Siemens is expanding its offering at the Hannover
Messe with an edge application. The Predictive Service Analyzer indicates
defects in the drive system at an early stage before they affect the entire
production. As a result, unplanned production downtime can be avoided and
maintenance times can be scheduled in good time, increasing plant availability
by up to 30 percent. By scheduling maintenance and servicing activities based
on actual demand, this increases productivity by up to 10 percent. The Predictive
Service Analyzer's AI-based solution detects early signs of anomalies, such as
those indicating mechanical damage in the motor, including bearing damage,
imbalance, and misalignment, as well as critical operating conditions of the
frequency converter. The app assesses the severity of the defect and the
expected remaining runtime and can thus predict potential future failures.
Predictive Service Analyzer provides information about anomalies in the drive system
Increased plant availability by up to 30 percent through reduced production downtime
AI-based algorithm for drive systems
As part of Predictive
Services for Drive Systems, Siemens is expanding its offering at the Hannover
Messe with an edge application. The Predictive Service Analyzer indicates
defects in the drive system at an early stage before they affect the entire
production. As a result, unplanned production downtime can be avoided and
maintenance times can be scheduled in good time, increasing plant availability
by up to 30 percent. By scheduling maintenance and servicing activities based
on actual demand, this increases productivity by up to 10 percent. The Predictive
Service Analyzer's AI-based solution detects early signs of anomalies, such as
those indicating mechanical damage in the motor, including bearing damage,
imbalance, and misalignment, as well as critical operating conditions of the
frequency converter. The app assesses the severity of the defect and the
expected remaining runtime and can thus predict potential future failures.
The Predicitve Service
Analyzer has an integrated dashboard. The AI-based edge app is also suitable
for users without AI knowledge and provides information about anomalies in the
engine.
The
Predictive Service Analyzer is particularly suitable for applications with constant
movements, as is the case with pumps, fans, and compressors or with motors that
do not require speed control. In comparison to the MindSphere app Predicitve
Service Assistant, which has already been launched on the market, the Edge
App's analysis is based on the evaluation of very high data volumes in near
real time. The edge-based solution also serves secure data handling in the
plant and reduces costs for cloud data transfers. In combination with the
Predicitve Service Assistant, the Predicitive Service Analyzer can preprocess
data as needed, which can then be used within the MindSphere App for further
insights and recommendations for action.
The
Predictive Service Analyzer edge application is a further element of the
Predictive
Services for Drive Systems, a standardized extension to the local service
contract. They are used for more efficient maintenance of Sinamics frequency
converters and Simotics motors. With Predictive Services for Drive Systems,
customers benefit from higher productivity and reduced unplanned downtime of
their machines and systems. Users also benefit from full transparency on spare
parts as well as on maintenance activities to minimize risks through simple
weak-point analysis. With Predictive Services, Siemens offers a comprehensive
range of services for industry. Each industry requires specific Predictive
Services, which the technology company has developed based on its extensive
industry expertise. The modular services for collecting, analyzing, and
evaluating machine data are adapted to the requirements of various industries.
Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely collaborating with partners and customers, DI drives the digital transformation in the process and discrete industries. With its Digital Enterprise portfolio, DI provides companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Optimized for the specific needs of each industry, DI’s unique portfolio supports customers to achieve greater productivity and flexibility. DI is constantly adding innovations to its portfolio to integrate cutting-edge future technologies. Siemens Digital Industries has its global headquarters in Nuremberg, Germany, and has around 72,000 employees internationally.
Siemens AG (Berlin and Munich) is a technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In addition, Siemens holds a minority stake in Siemens Energy, a global leader in the transmission and generation of electrical power. In fiscal 2021, which ended on September 30, 2021, the Siemens Group generated revenue of €62.3 billion and net income of €6.7 billion. As of September 30, 2021, the company had around 303,000 employees worldwide. Further information is available on the Internet at
www.siemens.com.