Objective We profile fault identification and diagnosis techniques employed in the aerospace, automotive, and industrial control domains. Each of these sectors has adopted particular methods to meet their diffe
Scaling Reinforcement Learning**:\n - Explored RL to enhance model intelligence beyond traditional pretraining, with techniques inspired by DeepSeek R1’s success in multi-stage training for complex reasoning tasks.\n\nAll models are accessible via platforms like Hugging Face, ModelScope, and GitHub...
自然语言生成 (即文本生成) 是自然语言处理 (NLP) 的核心任务之一。本文将介绍神经网络文本生成领域当前最先进的解码方法 对比搜索 (Contrastive Search)。提...
Machine learning approaches play a crucial role in nonlinear system modeling across diverse domains, finding applications in system monitoring, anomaly/fault detection, control, and various other areas. With technological advancements, today such systems might include hundreds or thousands of sensors that ...
Since data collection methods directly from the engine and from the test are costly high, the collection of data from the engine model is recommendable [15]. In the literature, various machine learning techniques were used for gas turbine fault classification and detection. Even though there is ...
An gray-box fuzzing techniques directly applied to fuzz Android system services Detected 2,272 service methods from vendor customization. performed 34,645 tests Chizpurfle reported that 9 tests caused failure and reproducible on Samsung S6, Nought Methods Extractor produces a list of system services ...
The paper presents a fault region identification method for the active distribution network (ADN) with limited PMU. First, PMU configuration and region division strategies are proposed based on the network topology. Next, the difference in three-phase cu
Generally, these fault diagnosis methods are achieved by the output current or voltage signals such as current-based methods or voltage-based methods [17]. Current-based methods often have depended on arm current. In order to simplify the application and improve diagnostic speed, the normalized ...
isoTNS) to help gauge the domain of validity for those techniques, as discussed in the main text. isoTNS results for the weight-17 operator incare not accessible with current methods (see Supplementary InformationVI). All experiments were carried out forG = 1, 1.2, 1.6 and extrapola...
As an emerging field in industrial applications and an effective solution for fault recognition, artificial intelligence (AI) techniques have been receiving increasing attention from academia and industry. However, great challenges are met by the AI methods under the different real operating conditions. ...