庞景月｜重庆工商大学｜学者主页

2026

An Improved Prediction Method for Telemetry Time Series Based on a Large Language Model

ZongFu Lin, Jingyue Pang, Jinlei Zhang, Quyuan Wang

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2025

多粒度时频域特征融合的温度遥测概率性预测

曹杨锁，卢晓伟，庞景月

《电子测量与仪器学报》

DOI

2025

Feen-LSTM:一种优化的多遥测参数在线无监督异常检测方法

张金垒，庞景月，卢晓伟，宋宇晨

《仪器仪表学报》

DOI

2025

AI-Enhanced Digital Twin Modeling for Spacecraft Power Systems

Canxu Huang, Jingyue Pang

IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

DOI

2024

Parameter probabilistic prediction for satellite power system based on unsupervised multi-dimensional sequence segmentation

Shouqiang Kang, Yanjiao Gao, Yuchen Song, Ruzhi Zhou, Jingyue Pang

Aerospace Science and Technology

DOI

2023

Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion

Zhipeng Wang, Yanjiao Gao, Jingyue Pang, Yuchen Song, Yu Peng

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2023

Anomaly Detection for Multivariate Telemetry Series of Satellite with Improved HVAE

Xiaolong Zhu, Jingyue Pang, Xiumei Liang

IEEE International Conference on Electronic Measurement & Instruments

DOI

2023

Temporal dependence Mahalanobis distance for anomaly detection in multivariate spacecraft telemetry series

Jingyue Pang, Datong Liu, Yu Peng, Xiyuan Peng

ISA Transactions

DOI

2023

Satellite Power System State Prediction Based on Online Learning With Parameter Association Rules

Shouqiang Kang, Yang Li, Yuchen Song, Ruzhi Zhou, Jingyue Pang

IEEE Transactions on Instrumentation and Measurement

DOI

2023

Discrete Features Enhancement Based Online Anomaly Detection for Satellite Telemetry Series

Jingyue Pang, Guangquan Zhao, Datong Liu, Xiyuan Peng

IEEE Transactions on Instrumentation and Measurement

DOI

2022

新工科与虚拟仪器课程的教学实践

庞景月，曹晓莉，姚行艳，王荣秀

《电子技术》

2022

数字孪生驱动多算法自适应选择的空间电源系统故障检测

庞景月，赵光权

《电子测量与仪器学报》

2022

虚拟仪器课程实验教学——逐层深入的项目式综合实践

庞景月，曹晓莉，姚行艳，江超

《科技视界》

2019

基于概率性预测的航天器遥测数据异常检测方法研究

庞景月

《哈尔滨工业大学》

2019

集成LSTM的航天器遥测数据异常检测方法

董静怡，庞景月，彭宇，刘大同

《仪器仪表学报》

DOI

2018

基于集成极限学习机的卫星大数据分析

史欣田，庞景月，张新，彭宇，刘大同

《仪器仪表学报》

DOI

2016

航天器遥测数据异常检测综述

彭喜元，庞景月，彭宇，刘大同

《仪器仪表学报》

2015

大数据:内涵、技术体系与展望

彭宇，庞景月，刘大同，彭喜元

《电子测量与仪器学报》

2015

数据驱动的机载设备PHM软件系统

陈静，彭宇，李祺，庞景月，刘大同

《电子测量与仪器学报》

2013

滑动窗口模型下的数据流自适应异常检测方法研究

庞景月

《哈尔滨工业大学》

庞景月

精选作品

期刊论文

An Improved Prediction Method for Telemetry Time Series Based on a Large Language Model

多粒度时频域特征融合的温度遥测概率性预测

Feen-LSTM:一种优化的多遥测参数在线无监督异常检测方法

AI-Enhanced Digital Twin Modeling for Spacecraft Power Systems

Parameter probabilistic prediction for satellite power system based on unsupervised multi-dimensional sequence segmentation

Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion

Anomaly Detection for Multivariate Telemetry Series of Satellite with Improved HVAE

Temporal dependence Mahalanobis distance for anomaly detection in multivariate spacecraft telemetry series

Satellite Power System State Prediction Based on Online Learning With Parameter Association Rules

Discrete Features Enhancement Based Online Anomaly Detection for Satellite Telemetry Series

新工科与虚拟仪器课程的教学实践

数字孪生驱动多算法自适应选择的空间电源系统故障检测

虚拟仪器课程实验教学——逐层深入的项目式综合实践

基于概率性预测的航天器遥测数据异常检测方法研究

集成LSTM的航天器遥测数据异常检测方法

基于集成极限学习机的卫星大数据分析

航天器遥测数据异常检测综述

大数据:内涵、技术体系与展望

数据驱动的机载设备PHM软件系统

滑动窗口模型下的数据流自适应异常检测方法研究

研究方向