Techniques herein provide a capability to predict failures of hardware by using onboard sensors and provide for the ability to move from detection to prediction for hardware failures. In turn, such techniques can help to reduce downtime due to marginal hardware and improves network availability. The techniques can also help to reduce unnecessary maintenance and changes related to replacing hardware that has not failed, which can lead to business efficiencies for both customers and vendors and may become even more important in a Network-As-A-Service (NAAS) context in which both sides are paid by the vendor
The functional correctness and the performance of smart environment applications can be hampered by ...
Smart Environments (SE) and Internet of Things (IoT) are two concepts that connect consumer electron...
This report provides the DOE and industry with a general process for analyzing power electronics rel...
We analyze hardware sensor data to predict failures in a high-end com-puter server. Features are ext...
Raw data of hardware performance counters from benchmarks used in developing the early detection and...
Increasing demand diversity and volume in semiconductor industry (SI) have resulted in shorter produ...
In today’s electronic world, humans are dependent on electronic devices. These electronic devices ar...
In the modern world, systems such as aircraft systems are becoming increasingly complex, often consi...
Recent trends in automotive electronics such as automated driving will increase the number and compl...
This talk mainly focused on understanding of reliability parameters such as Mean Time Between Failur...
Abstract—With the proliferation of inexpensive sensors, sensors are increasingly being used in smart...
Techniques are described herein for predicting whether an Edge Device (ED) in the Internet of Things...
Includes bibliographical references (pages 24-25)Predicting failure of integrated circuits is typica...
Maintenance and management of a manufacturing process involve the collection and processing of the m...
Currently, a large amount of time and resources are invested in preventative and reactive maintenanc...
The functional correctness and the performance of smart environment applications can be hampered by ...
Smart Environments (SE) and Internet of Things (IoT) are two concepts that connect consumer electron...
This report provides the DOE and industry with a general process for analyzing power electronics rel...
We analyze hardware sensor data to predict failures in a high-end com-puter server. Features are ext...
Raw data of hardware performance counters from benchmarks used in developing the early detection and...
Increasing demand diversity and volume in semiconductor industry (SI) have resulted in shorter produ...
In today’s electronic world, humans are dependent on electronic devices. These electronic devices ar...
In the modern world, systems such as aircraft systems are becoming increasingly complex, often consi...
Recent trends in automotive electronics such as automated driving will increase the number and compl...
This talk mainly focused on understanding of reliability parameters such as Mean Time Between Failur...
Abstract—With the proliferation of inexpensive sensors, sensors are increasingly being used in smart...
Techniques are described herein for predicting whether an Edge Device (ED) in the Internet of Things...
Includes bibliographical references (pages 24-25)Predicting failure of integrated circuits is typica...
Maintenance and management of a manufacturing process involve the collection and processing of the m...
Currently, a large amount of time and resources are invested in preventative and reactive maintenanc...
The functional correctness and the performance of smart environment applications can be hampered by ...
Smart Environments (SE) and Internet of Things (IoT) are two concepts that connect consumer electron...
This report provides the DOE and industry with a general process for analyzing power electronics rel...