This article presents an industrial implementation of a virtual sensor in the process of fault
detection of an induction motor. An ensemble-learning soft-sensor is developed to detect …

Oil transfer pump is the key dynamic equipment in the process of oil and gas gathering and
transportation, and its working reliability directly affects the safety of oil and gas storage and …

Feature extraction is an important part of fault diagnosis. Rotor faults are of various types
with little differences between each other and rely on effective methods of feature extraction …

Purpose Electric motors are present in most industries today, being the main source of
power. Thus, detection of faults is very important to rise reliability, reduce the production …

Artificial intelligence fields have been using deep learning in recent years. Due to its
powerful data mining capabilities, deep learning has a wide-ranging impact on the …

Most existing fault detection methods rely on batch learning, which assumes that all data are
available and can be accessed over and over again. Such an approach is impossible in the …

Fault diagnosis is important in rotor systems because severe damage can occur during the
operation of systems under harsh conditions. The advancements in machine learning and …

Induction machines (IMs) are commonly used in various industrial sectors. It is essential to
recognize IM defects at their earliest stage so as to prevent machine performance …

Induction motors are mainstay power components in industrial equipment. Fault diagnosis
technology of induction motors can detect the incipient fault and avoid the unplanned …

Broken rotor bar diagnosis in squirrel cage induction motors is a matter of increasing
concern nowadays. The classical motor current signature analysis (MCSA), based on the …