ISA transactions最新文献_第7页

Temporal logic inference for interpretable fault diagnosis of bearings via sparse and structured neural attention 基于稀疏和结构化神经注意的时间逻辑推理轴承可解释故障诊断。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.013

Gang Chen , Guangming Dong

{"title":"Temporal logic inference for interpretable fault diagnosis of bearings via sparse and structured neural attention","authors":"Gang Chen , Guangming Dong","doi":"10.1016/j.isatra.2025.01.013","DOIUrl":"10.1016/j.isatra.2025.01.013","url":null,"abstract":"<div><div>This paper addresses the critical challenge of interpretability in machine learning methods for machine fault diagnosis by introducing a novel ad hoc interpretable neural network structure called Sparse Temporal Logic Network (STLN). STLN conceptualizes network neurons as logical propositions and constructs formal connections between them using specified logical operators, which can be articulated and understood as a formal language called Weighted Signal Temporal Logic. The network includes a basic word network using wavelet kernels to extract intelligible features, a transformer encoder with sparse and structured neural attention to locate informative signal segments relevant to decision-making, and a logic network to synthesize a coherent language for fault explanation. STLN retains the advantageous properties of traditional neural networks while facilitating formal interpretation through temporal logic descriptions. Empirical validation on experimental datasets shows that STLN not only performs robustly in fault diagnosis tasks, but also provides interpretable explanations of the decision-making process, thus enabling interpretable fault diagnosis.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 256-271"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-triggering strategy design for an n-dimensional quantized linear system under bounded noise 有界噪声下n维量化线性系统的自触发策略设计。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.011

Zhiyang Zhang, Qiang Ling, Yuan Liu

引用次数: 0

Sensor fault detection in autonomous mining trucks with unknown varying gross weight

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.019

Zengwei Li, Jun-Sheng Wang

引用次数: 0

A novel domain feature disentanglement method for multi-target cross-domain mechanical fault diagnosis

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.012

Zhenyu Liu , Haowen Zheng , Hui Liu , Guifang Duan , Jianrong Tan

{"title":"A novel domain feature disentanglement method for multi-target cross-domain mechanical fault diagnosis","authors":"Zhenyu Liu , Haowen Zheng , Hui Liu , Guifang Duan , Jianrong Tan","doi":"10.1016/j.isatra.2025.01.012","DOIUrl":"10.1016/j.isatra.2025.01.012","url":null,"abstract":"<div><div>Existing cross-domain mechanical fault diagnosis methods primarily achieve feature alignment by directly optimizing interdomain and category distances. However, this approach can be computationally expensive in multi-target scenarios or fail due to conflicting objectives, leading to decreased diagnostic performance. To avoid these issues, this paper introduces a novel method called domain feature disentanglement. The key to the proposed method lies in computing domain features and embedding domain similarity into neural networks to assist in extracting cross-domain invariant features. Specifically, the neural network architecture designed based on information theory can disentangle key features from multiple entangled latent variables. It employs the concept of contrastive learning to extract domain-relevant information from each data point and uses the Wasserstein distance to determine the similarity relationships across all domains. By informing the neural network of domain similarity relationships, it learns how to extract cross-domain invariant features through adversarial learning Eight multi-target domain adaptation tasks were set up on two public datasets, and the proposed method achieved an average diagnostic accuracy of 96.82%, surpassing six other advanced domain adaptation methods, demonstrating its superiority.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 512-524"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new sensor-less voltage and frequency control of stand-alone DFIG based dead-beat direct-rotor flux control-experimental validation 基于恒拍直接转子磁链控制的单机DFIG无传感器压频控制——实验验证。

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2024.12.039

Mohammed Saci Chabani , M.T. Benchouia , A. Golea , Almoataz Y. Abdealziz , Mahmoud A. Mossa

{"title":"A new sensor-less voltage and frequency control of stand-alone DFIG based dead-beat direct-rotor flux control-experimental validation","authors":"Mohammed Saci Chabani , M.T. Benchouia , A. Golea , Almoataz Y. Abdealziz , Mahmoud A. Mossa","doi":"10.1016/j.isatra.2024.12.039","DOIUrl":"10.1016/j.isatra.2024.12.039","url":null,"abstract":"<div><div>The paper presents a new sensor-less voltage and frequency control method for a stand-alone doubly-fed induction generator (DFIG) feeding an isolated load. The proposed control approach directly regulates the magnitude and angle of the rotor-flux vector rather than controlling rotor currents or voltages as in classic field oriented control (FOC). To accurately regulate the magnitude and frequency of stator voltage, two separate closed-loop based PI regulators are employed to evaluate the reference signals of the rotor flux vector magnitude and angle, respectively. As the proposed control strategy directly regulates the rotor flux vector in the rotor frame, this helps effectively in avoiding the use of rotor speed/position sensors or computationally intensive rotor speed estimators. Furthermore, the stator current measurements are not required to evaluate the load power requirement, considerably reducing the control implementation cost for the system. Furthermore, the proposed control strategy has the ability to operate in both sub-synchronous and super-synchronous speed modes without the need to identify the operating speed range. Since the method only requires knowledge of rotor resistance, it is extremely simple to use and virtually parameter-independent. To evaluate the performance, effectiveness and robustness of the new controller, extensive simulation and experimental tests of a 3-kW laboratory generator are accomplished for different operating conditions. Additionally, a performance comparison with the classic FOC strategy is made, from which the superiority of the proposed control is clearly confirmed.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 715-734"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142928937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Event-triggered adaptive compensation control for stochastic nonlinear systems with multiple failures: An improved switching threshold strategy

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.024

Yang Du , Shan-Liang Zhu , Yu-Qun Han

{"title":"Event-triggered adaptive compensation control for stochastic nonlinear systems with multiple failures: An improved switching threshold strategy","authors":"Yang Du , Shan-Liang Zhu , Yu-Qun Han","doi":"10.1016/j.isatra.2025.01.024","DOIUrl":"10.1016/j.isatra.2025.01.024","url":null,"abstract":"<div><div>This paper considers the event-triggered adaptive fault-tolerant control (FTC) problem for a class of stochastic nonlinear systems suffering from finite number of actuator failures and abrupt system external failure. Unlike existing event-triggered mechanisms (ETMs), this paper proposes an improved switching threshold mechanism (STM) that effectively addresses the potential system security hazards caused by large signal impulses when both the magnitude size of the controller and its rate of change are too large, while also saving energy consumption. Especially, when the occurrence of both actuator failure and system external failure may lead to over-change rate of the controller, by using the multi-dimensional Taylor network (MTN) approximation technique, the adaptive fault-tolerant control scheme designed based on the improved STM not only has lower resource consumption, but also indirectly improves the control performance of the system by ensuring the system security operation. Not only does it ensure that all signals of the closed-loop system are bounded in probability and the tracking error converges through the proposed control scheme. The feasibility and superiority of the developed scheme is well shown by dynamic model simulations.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 62-72"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultraprecision multi-axis CARIC control strategy with application to a nano-accuracy air-bearing motion stage

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.020

Ran Zhou , Ze Wang , Jiuru Lu , Yu Zhu , Chuxiong Hu

{"title":"Ultraprecision multi-axis CARIC control strategy with application to a nano-accuracy air-bearing motion stage","authors":"Ran Zhou , Ze Wang , Jiuru Lu , Yu Zhu , Chuxiong Hu","doi":"10.1016/j.isatra.2025.01.020","DOIUrl":"10.1016/j.isatra.2025.01.020","url":null,"abstract":"<div><div>Multi-axis contouring control is crucial for ultraprecision manufacturing industries, contributing to meeting the ever-increasingly stringent performance requirements. In this article, a novel contouring adaptive real-time iterative compensation (CARIC) method is proposed to achieve extreme multi-axis contouring accuracy, remarkable trajectory generalization, disturbance rejection, and parametric adaptation simultaneously. Specifically, control actions generated by CARIC consist of robust feedback, adaptive feedforward, and online trajectory compensation components. Robust feedback and adaptive feedforward terms initially stabilize single-axis closed-loop control systems and adapt to parameter variations. An online contouring error prediction model subsequently captures upcoming contouring errors in advance, enabling the iterative calculation of optimal online trajectory compensation signals at each sampling instant during real-time motion. This mechanism proactively suppresses potential contouring errors before their occurrence. Comparative simulations and experiments demonstrate that the proposed CARIC method reaches the accuracy limit previously attainable only by iterative learning control (ILC) while enhancing trajectory generalization, disturbance rejection, and parametric adaptation. Notably, practical experiments on a nano-accuracy air-bearing motion stage showcase consistent 7-nm-level accuracy across various 100-mm stroke contouring tasks even under varying contours, payloads, and disturbances. Owing to these advantages, CARIC offers promising potential to enhance ultraprecision manufacturing performance through advanced motion control techniques.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 572-585"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A robust output-feedback control scheme based on composite nonlinear feedback in singular uncertain delayed models

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.022

Valiollah Ghaffari , Saleh Mobayen

引用次数: 0

Distributed multi-agent reinforcement learning for multi-objective optimal dispatch of microgrids

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.009

Xiaowen Wang , Shuai Liu , Qianwen Xu , Xinquan Shao

引用次数: 0

Towards high mobility and adaptive mode transitions: Transformable wheel-biped humanoid locomotion strategy

IF 6.3 2区计算机科学

ISA transactions Pub Date : 2025-03-01 DOI: 10.1016/j.isatra.2025.01.029

Junhang Lai , Xuechao Chen , Zhangguo Yu , Zhuo Chen , Chencheng Dong , Xiaofeng Liu , Qiang Huang

{"title":"Towards high mobility and adaptive mode transitions: Transformable wheel-biped humanoid locomotion strategy","authors":"Junhang Lai , Xuechao Chen , Zhangguo Yu , Zhuo Chen , Chencheng Dong , Xiaofeng Liu , Qiang Huang","doi":"10.1016/j.isatra.2025.01.029","DOIUrl":"10.1016/j.isatra.2025.01.029","url":null,"abstract":"<div><div>Wheel-biped humanoid robots offer a promising solution that combines the bipedal locomotion and manipulation capabilities of humanoids with the mobility advantages of wheeled robots. However, achieving high mobility and adaptive wheel-foot transitions while maintaining essential bipedal functionality in a transformable wheel-biped configuration (TWBC) presents a significant challenge. To address this, this paper proposes a transformable wheel-humanoid framework (TWHF), which enhances traditional humanoid robots by incorporating a compact, decoupled wheeled subsystem. This design effectively balances high-speed wheeling, seamless mode transitions, and fundamental bipedal locomotion. A novel key phase decomposition (KPD) methodology is introduced to analyze and decouple transition motions, providing structured guidance for subsystem design, motion planning, and control. Transition reference motions are optimized using a particle swarm optimization-based motion optimization (PSOMO) approach, leveraging sagittal modeling to ensure dynamic stability and kinematic feasibility. Additionally, the proposed trunk-ankle collaborative control (TACC) strategy further enhances transition adaptability to terrain discrepancies. Extensive experiments conducted on the wheel-humanoid BHR8-2 validate the proposed TWHF, demonstrating stable hybrid locomotion across diverse terrains and achieving wheeling speeds exceeding 10 km/h.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"158 ","pages":"Pages 184-196"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0