ISA transactions最新文献

{"title":"Robust contrastive learning based on evidential uncertainty for open-set semi-supervised industrial fault diagnosis.","authors":"Shuaijie Chen, Chuang Peng, Lei Chen, Kuangrong Hao","doi":"10.1016/j.isatra.2025.01.041","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.041","url":null,"abstract":"<p><p>Semi-supervised learning is increasingly applied in industrial fault diagnosis, presuming that the label spaces of labeled samples and unlabeled samples are identical. However, unknown faults in real-world scenarios present a challenge for traditional closed-set approaches. To this end, we propose a novel framework for open-set semi-supervised industrial fault diagnosis, named Evidential Robust Contrastive Learning (ERCL). The theory of evidence is introduced to explicitly assess sample uncertainty, guiding the evidential robust contrastive representation module to implement instance-level training strategies for each unlabeled sample. Additionally, an adaptive out-of-distribution detection module is developed to detect unknown faults by evaluating the difference in mutual information distributions between in-distribution (ID) and out-of-distribution (OOD) samples, thereby avoiding over-reliance on prior knowledge. The proposed framework is validated with the Tennessee Eastman process and polyester esterification process. As proved in the experiments, ERCL exhibits superior diagnosis accuracy in open scenarios with limited labeled data.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reinforcement learning-based trajectory tracking optimal control of unmanned surface vehicles in narrow water areas.","authors":"Ziping Wei, Jialu Du","doi":"10.1016/j.isatra.2025.01.045","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.045","url":null,"abstract":"<p><p>For unmanned surface vehicles (USVs) navigating in narrow water areas in the presence of unknown dynamics and ocean environmental disturbances, this paper develops a reinforcement learning (RL)-based optimal control scheme for the trajectory tracking of USVs under motion state constraints. A nonlinear map is introduced to transform constrained motion state errors into bounded transformed errors, and then the motion state-constrained trajectory tracking problem of USVs is equivalently transformed into a boundedness problem of the transformed errors. Furthermore, an actor-critic framework is developed by utilizing adaptive neural networks (NNs). Within the actor-critic framework, a novel weight update law is designed for the critic NN by combining the gradient descent approach and the concurrent learning technology, thereby relaxing the persistent excitation condition required for adaptive critic NN weight updates. Subsequently, a disturbance compensator is designed and combined with the actor-critic framework to learn the trajectory tracking optimal control law for USVs in the presence of unknown dynamics and disturbances. Finally, theoretical analyses prove that the developed control scheme guarantees the boundedness of all signals in the USV closed-loop trajectory tracking control system, and simulation results show that the developed control scheme can make USVs track the desired trajectory in narrow water areas while reducing the energy consumption by approximately 14.6 % compared with an existing controller.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive output feedback control for uncertain nonlinear systems with quantized input and output.","authors":"Xiaowei Yu, Xiaoli Li","doi":"10.1016/j.isatra.2025.01.040","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.040","url":null,"abstract":"<p><p>In this paper, an adaptive stabilization control scheme is developed for uncertain nonlinear systems with both quantized input and output. Initially, a finite-time filter is introduced and applied to the discontinuous quantized output. It is shown that the output of the finite-time filter, named filtered quantized output, is continuous and adheres to the sector bound property. Subsequently, an observer is constructed to estimate unmeasurable states, followed by the design of a control scheme utilizing dynamic surface control technique, so as to avoid repeated derivatives of the filtered quantized output. Finally, it is demonstrated by theoretical analysis and simulation results that, even with coarse input and output quantizers, the stabilization error can be driven to a small residual set by adjusting certain design parameters.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prescribed performance ADRC position stabilization control of gangway tips under velocity constrains.","authors":"Meng Li, Jialu Du, Dayu Xu","doi":"10.1016/j.isatra.2025.01.048","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.048","url":null,"abstract":"<p><p>Consider an offshore gangway with vessel-motion-induced disturbances, dynamic uncertainties and friction force uncertainties under velocity constrains of the gangway tip (GT). A prescribed-time extended state observer (PTESO) is innovatively constructed by means of an error mapping function with respect to a prescribed performance function (PPF) where the problem that the gains of the existing PTESOs approach to infinity at a prescribed time is solved. The constructed PTESO with prescribed-time convergent estimation errors can provide the estimates of the GT motion states and the gangway total disturbances, respectively. Further, a new barrier function with respect to the PPF, the gangway tip position stabilization (GTPS) error and the GT velocity is proposed to handle the velocity constrains of the GT. Based on the above, a prescribed-performance control law for the GTPS is developed such that the GTPS errors converge to a prescribed tolerance steady-state error band in a prescribed settling time. Therein, our proposed barrier function is used as the component of the gain of the developed control law, unlike in the existing literatures used as the barrier Lyapunov functions, such that the developed control law is easy to implement. Simulation results exhibit that the GTPS errors under our developed control law are decreased by 16 % and 19 % in two cases with different sea states and model parameters, respectively.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel approach for adaptively separating and extracting compound fault features of the in-wheel motor bearing.","authors":"Yukun Tao, Chun Ge, Han Feng, Hongtao Xue, Mingyu Yao, Haihong Tang, Zhiqiang Liao, Peng Chen","doi":"10.1016/j.isatra.2025.01.042","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.042","url":null,"abstract":"<p><p>For compound fault detection of in-wheel motor bearings, this paper proposes a novel approach to adaptively separate multi-source signals and extract compound fault features. Building upon blind source separation (BSS), this approach integrates blind deconvolution to address the challenge of extracting weak features. To resolve the undetermined condition of BSS and enhance feature expression, an adaptive signal reconstruction strategy based on local mean decomposition is proposed. Non-negative matrix factorization, a commonly used BSS method, is refined to suit practical applications by adopting the Itakura-Saito distance and the sparse constraint. Then, fault source signals are adaptively identified based on the proposed envelope spectrum peak factor. By introducing a new waveform extension strategy to effectively reduce the endpoint effect, multipoint optimal minimum entropy deconvolution adjusted is improved and used to enhance and extract weak features. Simulation and experimental results validate the effectiveness and robustness of the proposed approach across various stable working conditions and different types of compound faults.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reference composite features database construction method based on track segmentation for gravity matching aided navigation.","authors":"Menghan Xi, Lin Wu, Qianqian Li, Guocheng Mao, Pengfei Wu, Bing Ji, Lifeng Bao, Yong Wang","doi":"10.1016/j.isatra.2025.01.046","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.046","url":null,"abstract":"<p><p>The reference database or maps is the most important foundation of the gravity matching aided navigation system, which can directly affect the navigation performance of the system and determine the level of matching positioning accuracy. The matching algorithm is usually designed according to the form of database, and its principle is closely related to the structure of database. In this paper, a reference composite features database construction method based on track segmentation (TS-RFD) is proposed. The TS-RFD method mainly can extract texture features from gravity reference data, and determines 8 kinds of features such as index feature and matching feature to establish a reference composite features database. Combined with the search structure of key-value pairs, index feature is used as keys and matching features as values to propose the track segmentation search strategy for matching, and the final positioning result is obtained. Compared to the traditional numerical gravity reference databases or maps which briefly constructed from just gravity anomaly values, with the proposed TS-RFD method various matching features derived from gravity distribution and change are composited to construct a reference composite features database. When the new TS-RFD based database is loaded for gravity matching aided navigation system instead of traditional numerical database, it can significantly enhance efficiency and accuracy, and maintains robust stability. Six subregions in the South China Sea with different gravity distribution and changes were chosen for simulation experiments to verify the performance of proposed database construction. In these six subregions, matching positioning tests along 4200 simulated tracks were carried out. Simulation results show that, with gravity features database constructed from TS-RFD method, both matching accuracy and stability of gravity matching navigation are distinctly improved that obviously superior to the gravity matching with traditional pure numerical database. Moreover, the gravity matching navigation tests were conducted utilizing real measured gravity data in the South China Sea. Measured data test results indicate that after 150 times matching positioning along the track, the average positioning accuracies of matching navigation experiment with traditional numerical database are more than 1.45 nautical miles. In contrast, the average positioning accuracy with TS-RFD database can achieve 1.19 nautical miles, the stability and success rate are still significant advantages.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RAM measure of EPB shield tunneling system under uncertain parameters - A case study in Tehran metro line 6.","authors":"Vahid Amini, Jafar Khademi Hamidi, Masoud Monjezi, Esmaeil Fasihi","doi":"10.1016/j.isatra.2025.01.038","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.038","url":null,"abstract":"<p><p>Tunnels have a crucial role in preventing traffic jams in cities' transportation systems. Therefore, their timely design and construction are fundamental. The past decade has seen the rapid development of Earth Pressure Balance (EPB) machines as the most efficient and safest boring machines in urban areas with the lowest surface subsidence. Nevertheless, despite their numerous benefits, using these machines has disadvantages, such as long-term downtimes and heavy maintenance costs that the projects suffer from. Recently, there has been a surge of interest among researchers in troubleshooting and reducing the downtime of this complex machine. This paper mainly aims to trace and estimate executive elements' impact on machine reliability. To this end, all stops related to 16 subsystems over 12 months were collected and divided into two scenarios, direct (technical) and indirect (technical and executive) factors. According to the results obtained from the preliminary analysis of the raw data: (1) no substantial executive elements were recorded for the navigation subsystem; (2) the trend and serial correlation tests indicated that all Time Between Failures (TBFs) and Time To Repairs (TTRs) from subsystems followed the renewal processes, except for the navigation subsystem's TTR data that followed the non-homogenous poison process (NHPP); (3) the conveyor and segment subsystems were jointly introduced as the most critical subsystem with indirect factors; (4) in contrast, the conveyor subsystem with direct factors was found as the most critical one from the reliability point of view; and (5) the most striking result obtained from the data was that the executive elements could reduce the overall reliability of the EPB machine by about 40 % compared to the contrary scenario.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel global path planning method for robot based on dual-source light continuous reflection.","authors":"Jintao Ye, Lina Hao, Hongtai Cheng, Xingchen Li","doi":"10.1016/j.isatra.2024.05.006","DOIUrl":"10.1016/j.isatra.2024.05.006","url":null,"abstract":"<p><p>Aiming to address the problem of robot path planning in environments containing narrow passages, this paper proposes a novel global path planning method: the DSR (Dual-source Light Continuous Reflection Exploration) algorithm. This algorithm, inspired by the natural reflection of light, employs the concept of continuous reflection for path planning. It can efficiently generate an asymptotically optimal path on the map containing narrow passages. The DSR algorithm has been evaluated on different maps with narrow passages and compared with other algorithms. In comparison with the bidirectional Rapidly-exploring Random Tree algorithm, the DSR algorithm achieves a significant reduction in both path length (by 27.08% and 34.35%) and time consumption (by 98.47% and 91.03%). Numerical simulations and experimental analysis have demonstrated the excellent performance of the DSR algorithm.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":"15-29"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind power systems.","authors":"Dongsheng Cai, Feiyu Sun, Linlin Li, Weihao Hu, Qi Huang","doi":"10.1016/j.isatra.2024.05.001","DOIUrl":"10.1016/j.isatra.2024.05.001","url":null,"abstract":"<p><p>As the penetration of renewable energy increases to a large scale and power electronic devices become widespread, power systems are becoming prone to synchronous oscillations (SO). This event has a major impact on the stability of the power grid. The recent research has been mainly concentrated on identifying the parameters of sub-synchronous oscillation. Sub/Super synchronous oscillations (Sub/Sup-SO) simultaneously occur, increasing the difficulty in accurately identify the parameters of SO. This work presents a novel method for parameter identification that effectively handles the Sub/Sup-SO components by utilizing the Rife-Vincent window and discrete Fourier transform (DFT) simultaneously. To mitigate the impact of spectral leakage and the fence effect of DFT, we integrate the tri-spectral interpolation algorithm with the Rife-Vincent window. We use the instantaneous data of the phasor measurement unit (PMU) to identify Sub/Sup-SO-related parameters (Sub/Sup-SO damping ratio, frequency, amplitude and phase). First, the spectrum of the Sub/Sup-SO signals is analyzed after incorporating the Rife-Vincent window, and the characteristics of the Sub/Sup-SO signal are determined. Then, the signal spectrum is identified using a three-point interpolation algorithm, and the damping ratio, amplitude, frequency, and phase of the Sub/Sup-SO signals are obtained. In addition, we consider the identification accuracy of the algorithm under various complex conditions, such as the effect of Sub/Sup-SO parameter variations on parameter identification in the presence of a non-nominal frequency and noise. The proposed algorithm accurately identifies the parameters of multiple Sub/Sup-SO components and two Sub-SO components that are in close proximity. Testing with synthetic and real data demonstrates that the proposed algorithm outperforms existing methods in terms of identification accuracy, identification bandwidth, and adaptability.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":"166-180"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualized neural network-based vibration control for pigeon-like flexible flapping wings.","authors":"Hejia Gao, Jinxiang Zhu, Changyin Sun, Zi-Ang Li, Qiuyang Peng","doi":"10.1016/j.isatra.2024.05.044","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.05.044","url":null,"abstract":"<p><p>This study investigates pigeon-like flexible flapping wings, which are known for their low energy consumption, high flexibility, and lightweight design. However, such flexible flapping wing systems are prone to deformation and vibration during flight, leading to performance degradation. It is thus necessary to design a control method to effectively manage the vibration of flexible wings. This paper proposes an improved rigid finite element method (IRFE) to develop a dynamic visualization model of flexible flapping wings. Subsequently, an adaptive vibration controller was designed based on non-singular terminal sliding mode (NTSM) control and fuzzy neural network (FNN) in order to effectively solve the problems of system uncertainty and actuator failure. With the proposed control, stability of the closed loop system is achieved in the context of Lyapunov's stability theory. At last, a joint simulation using MapleSim and MATLAB/Simulink was conducted to verify the effectiveness and robustness of the proposed controller in terms of trajectory tracking and vibration suppression.The obtained results have demonstrated great practical value of the proposed method in both military (low-altitude reconnaissance, urban operations, and accurate delivery, etc.) and civil (field research, monitoring, and relief for disasters, etc.) applications.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141249139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}