To implement Prognostics Health Management (PHM) for hydraulic pumps, it is very
important to study the faults of hydraulic pumps to ensure the stability and reliability of the …

In the context of modern computing landscapes marked by escalating resource demands
and cost considerations, this paper introduces a novel framework that integrates artificial …

Safety assessment of modern critical instrumentation and control systems is a complicated
process considerably dependent on expert techniques, single/multiple faults consideration …

Modeling technology is both the core and the difficulty of digital twin. In response to this
challenge, a digital twin framework based on dynamic model is proposed and applied to …

In industry, electric motors such as the squirrel cage induction motor (SCIM) generate motive
power and are particularly popular due to their low acquisition cost, strength, and …

随着发动机性能要求的不断提升, 燃油控制系统服役的工况变得越来越恶劣,
边界条件越来越复杂. 燃油泵固有压力脉动与管路, 活门的流固耦合振动, 密封圈腐蚀或老化导致 …

This paper presents a methodology for identifying faulty components in an electric pump
during the end-of-line test based on accelerations and pressure pulsation data used to train …

A Monte Carlo simulation method based on multisource bayes is proposed to improve the
reliability of motorized spindles in cycloid gear grinding machines and reduce their failure …

This paper presents an Artificial Intelligence based methodology to detect typical
manufacturing errors in external gear machines based on a hybrid approach by means of …

As engine performance requirements continue to improve, the operating conditions of the
fuel control system have become harsher and the boundary conditions have become more …