Post-Mining Hazard Management of the Former Gardanne Coal Basin (France): Feedback of 17 Years of Microseismic Monitoring by Isabelle Contrucci, Jannes L. Kinscher, Kévin Delage, Emmanuelle Klein

“…This paper shows, through multiplet analysis method of the seismic data recorded by the monitoring network stations, that part of the seismicity in the monitoring areas is also due to the reactivation of tectonic faults. …”
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Watch Your Callback: Offline Anomaly Detection Using Machine Learning in ROS 2 by Jeonghwan Kang, Kyounghwan Kim, Donghyun Kwon

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An engineering-geological study of rock soils and the products of their fracture zones (Albazinskoe deposit, north Khabarovsk Krai) by T. G. Ryashchenko, E. A. Maslov, E. V. Bryzhak, S. I. Shtel’makh

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Low-Complexity Vibration-Based Condition Monitoring for Rolling Bearings: A Novel Instantaneous Amplitude–Frequency Approach by Sulaiman Aburakhia, Ismail Hamieh, Sami Muhaidat, Abdallah Shami

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RANKING OF SEISMIC INTENSITY ATTENUATION LAWS AND MODELING OF SEISMIC SOURCES FOR SEISMIC HAZARD ASSESSMENT IN UZBEKISTAN by R. S. Ibragimov, T. L. Ibragimova, M. A. Mirzaev, S. H. Ashurov

“…Consideration was given to three alternative models of seismic sources: area sources, active faults, and seismogenic zones. …”
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Performance Evaluation of Earthquake Acceleration Attenuation Models (1994–2023): A Case Study of the December 5, 2024 Khuzestan Earthquake by Mansoureh Rezaeemanesh, Ali Alibazi

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Petrography and geochemistry of Late Carboniferous dolostone-hosted soapstone in the Sherwan Formation, Hazara Basin: insights into hydrothermal and dynamic metamorphic processes by Khawaja Umair Majeed, Khawaja Umair Majeed, Muhammad Saleem Mughal, George Kontakiotis, Syed Kamran Ali, Shamim Akhtar, Hammad Tariq Janjuhah, Kamaran Siddique, Evangelia Besiou, Assimina Antonarakou

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THE NEPSKY-1 IMPACT CRATER AND ITS FILL DEPOSITS ON THE BASEMENT ROOF OF THE SIBERIAN PLATFORM by M. I. Gyokche, A. V. Plyusnin

“…In the area around the crater, fault systems are detected. Based on the core sample analysis, we identified the lithological members of the crater and its rim and described them in detail. …”
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Enhancing Geothermal Anomaly Detection with Multi-Source Thermal Infrared Data: A Case of the Yangbajing–Yangyi Basin, Tibet by Chunhao Li, Na Guo, Yubin Li, Haiyang Luo, Yexin Zhuo, Siyuan Deng, Xuerui Li

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Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review by Shrikant M. Harle, Rajan L. Wankhade

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Innovative Modeling of IMU Arrays Under the Generic Multi-Sensor Integration Strategy by Benjamin Brunson, Jianguo Wang, Wenbo Ma

“…This method characterizes sensor errors (biases/scale factor errors) for each IMU in an IMU array, leveraging the novel Generic Multisensor Integration Strategy (GMIS) and the framework for comprehensive error analysis in Discrete Kalman filtering developed through the authors’ previous research. …”
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Seismic Risk Assessment of Optimally Designed Highway Bridge Isolated by Ordinary Unbounded Elastomeric Bearings by Ali Maghsoudi-Barmi, Ali Khansefid, Alireza Khaloo, Milad Ehteshami Moeini

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Health Diagnosis of Roadheader Based on Reference Manifold Learning and Improved K-Means by Xiaodong Ji, Yang Yang, Yuanyuan Qu, Hai Jiang, Miao Wu

“…Through practical analysis, the effectiveness of the method was verified and provided a kind of fault analysis idea and method for equipment working under complex working conditions and the theoretical basis for fault type analysis.…”
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Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…This method starts from petrochemical big data and consists of three parts: fault dynamic knowledge graph construction, instrument data sliding fault-tolerant filtering, and the fusion and reasoning of fault dynamic knowledge graph and instrument data variation monitoring. …”
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Blade Crack Detection of Centrifugal Fan Using Adaptive Stochastic Resonance by Bingbing Hu, Bing Li

“…A centrifugal fan test rig is established and experiments with three cases of blades are conducted. In comparison with the ensemble empirical mode decomposition (EEMD) analysis and the traditional Fourier transform method, the experiment verified the effectiveness of the current method in blade crack detection.…”
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BEARING DEGRADATION STATE IDENTIFICATION OF LCD-HILBERT RELATIVE SPECTRUM ENTROPY by CHEN HuiHong

“…The degradation feature vector is composed of the three features. The practical vibration of bearing with inner race fault and outer race fault which in different degradation state are analyzed, and the support vector machine is further used to identification degradation state and the results demonstrate the ability of the proposed method.…”
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改进MOMEDA方法及其在滚动轴承故障特征增强中的应用 by 陈丙炎, 宋冬利, 张卫华, 程尧

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基于AR模型和径向基神经网络的滚动轴承故障诊断 by 陆爽, 侯跃谦, 田野

“…In this paper, in the light of the merit of radial basis function neural network and on the basis of the feature analysis of vibration signal of rolling bearing, AR model is presented by using time series method. …”
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摆动活齿传动系统故障树分析 by 梁尚明, 徐礼钜

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Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems by Morgane Suhas, Emmanuelle Abisset-Chavanne, Pierre-André Rey

“…The integration of physical knowledge of the healthy behaviour of the motor into a recurrent neural network enhances the accuracy of bearing fault detection by identifying three health states: healthy, progressive fault and stabilised fault. …”
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