Counterfeiting of microelectronic parts is an ever-growing threat to the reliability and security of electronic systems. A study was conducted to investigate techniques for the detection of counterfeit microelectronic parts. Authentic, remarked, and cloned parts were included in the study. The data presented in this paper is the first collection of quantitative data on counterfeit testing, including the performance of individual test methods. ...

Accurate estimation of the state of health (SOH) of lithium-ion batteries is crucial for the safety and operation of electric vehicles. The accuracy and efficiency of SOH estimation are degraded by existing data-driven methods that depend on the empirically selecting hyperparameters and time-consuming aging data. In this paper, a method joint improved grey wolf optimization (IGWO) algorithm and long short-term memory (LSTM) is developed to estimate the SOH using partial discharging health features (HFs). ...

Accurate flight regime identification is critical for enhancing aircraft efficiency and safety. Traditionally, predictive models for aircraft operation have relied on complex, black-box machine learning techniques that lack transparency. This study introduces a more interpretable approach by leveraging the New Comprehensive Modular Aero-Propulsion System Simulation (N-CMAPSS) dataset and combining expanding window classification, voting schemes, and spectral clustering to detect distinct flight regimes. ...

Micromechanical switches are tiny mechanical devices consisting of movable parts that physically open or close electrical circuits, enabling the control of electrical signals in electronic switching applications. They are used in various applications, including telecommunications, data transmission, signal processing, electrical test and measurement devices, and portable electronics, due to their small size, low power consumption, fast response time, and high reliability. ...

In self-driving vehicles linked with mobility electrification, system failures that occur suddenly in situations where customers are unaware of signs of failure are directly related to customer injuries. Securing the durability and safety of closure automation system is necessary to increase the customer's safety value so PHM technology makes it possible to predict failures and remaining life in advance during system operation. ...