scholarly journals A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 210
Author(s):  
Amelie Bender
Keyword(s):  
Particle Filter ◽  
Condition Monitoring ◽  
Particle Filtering ◽  
Classical Particle ◽  
Use Case ◽  
Performance Indices ◽  
Model Particle ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Useful Lifetime

While increasing digitalization enables multiple advantages for a reliable operation of technical systems, a remaining challenge in the context of condition monitoring is seen in suitable consideration of uncertainties affecting the monitored system. Therefore, a suitable prognostic approach to predict the remaining useful lifetime of complex technical systems is required. To handle different kinds of uncertainties, a novel Multi-Model-Particle Filtering-based prognostic approach is developed and evaluated by the use case of rubber-metal-elements. These elements are maintained preventively due to the strong influence of uncertainties on their behavior. In this paper, two measurement quantities are compared concerning their ability to establish a prediction of the remaining useful lifetime of the monitored elements and the influence of present uncertainties. Based on three performance indices, the results are evaluated. A comparison with predictions of a classical Particle Filter underlines the superiority of the developed Multi-Model-Particle Filter. Finally, the value of the developed method for enabling condition monitoring of technical systems related to uncertainties is given exemplary by a comparison between the preventive and the predictive maintenance strategy for the use case.

scholarly journals A Zero-Velocity Update Method for Adaptive Particle Filtering

2020 ◽  
Vol 38 (2) ◽  
pp. 427-433
Author(s):  
Yuyang Guo ◽  
Xiangbo Xu ◽  
Miaoxin Ji
Keyword(s):  
Kalman Filter ◽  
Particle Filter ◽  
Particle Filtering ◽  
State Space Model ◽  
Classical Particle ◽  
Measurement Unit ◽  
Correction Algorithm ◽  
Zero Velocity ◽  
Non Gaussian ◽  
Navigation Errors

Aiming at the low precision of Kalman filter in dealing with non-linear and non-Gaussian models and the serious particle degradation in standard particle filter, a zero-velocity correction algorithm of adaptive particle filter is proposed in this paper. In order to improve the efficiency of resampling, the adaptive threshold is combined with particle filter. In the process of resampling, the degradation co-efficient is introduced to judge the degree of particle degradation, and the particles are re-sampled to ensure the diversity of particles. In order to verify the effectiveness and feasibility of the proposed algorithm, a hardware platform based on the inertial measurement unit (IMU) is built, and the state space model of the system is established by using the data collected by IMU, and experiments are carried out. The experimental results show that, compared with Kalman filter and classical particle filter, the positioning accuracy of adaptive particle filter in zero-velocity range is improved by 40.6% and 19.4% respectively. The adaptive particle filter (APF) can correct navigation errors better and improve pedestrian trajectory accuracy.

Knowledge representation in graph-models of complex technical systems

2020 ◽  
pp. 12-16
Author(s):  
Evgenia R. Muntyan
Keyword(s):  
Analytical Study ◽  
Level Structure ◽  
Graph Models ◽  
Level Data ◽  
Knowledge Formation ◽  
Different Types ◽  
Level Information ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Structure Of Knowledge

The article analyzes a number of methods of knowledge formation using various graph models, including oriented, undirected graphs with the same type of edges and graphs with multiple and different types of edges. This article shows the possibilities of using graphs to represent a three-level structure of knowledge in the field of complex technical systems modeling. In such a model, at the first level, data is formed in the form of unrelated graph vertices, at the second level – information presented by a related undirected graph, and at the third level – knowledge in the form of a set of graph paths. The proposed interpretation of the structure of knowledge allows to create new opportunities for analytical study of knowledge and information, their properties and relationships.

Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target

2011 ◽  
Vol 30 (4) ◽  
pp. 941-944 ◽  
Author(s):  
Ya-xin Gong ◽  
Hong-wen Yang ◽  
Wei-dong Hu ◽  
Wen-xian Yu
Keyword(s):  
Particle Filter ◽  
Multiple Model ◽  
Model Particle ◽  
Track Before Detect ◽  
Weak Target

NETWORK MODELS AS A SOLUTION FOR COMPLEX TECHNICAL PRODUCT`S DIAGNOSING PROBLEMS SOLVING

2019 ◽  
pp. 38-42
Author(s):  
S. Yu. Strakhov ◽  
A. A. Karasev
Keyword(s):  
Complex System ◽  
System Analysis ◽  
Network Models ◽  
Functional Testing ◽  
Formal Models ◽  
Mathematical Apparatus ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Formalized Description ◽  
Diagnostic Software

Authors explore issue of applicability of the methodology of building diagnostic software using network formal models in the functional testing of electronic equipment as part of complex technical systems. Using methods of system analysis allows to perform a decomposition of interdependent subsystems and to reveal basic acts of interaction between the control‑verification equipment and the object of diagnosis. Mathematical apparatus of Petri nets should be employed for the formalized description of such acts and determined the cause‑and‑effect relations in the diagnosed complex system`s processes. Network models properties studying (such as safety and accomplishment of the final positions) allows us to move to the test object`s algorithm`s developing. The article presents an approach of a formalized description for basic acts of interaction between the diagnosis system and the object.

INTEGRATED ASSESSMENT OF STABILITY FUNCTIONING COMPLEX TECHNICAL SYSTEMS IN THE TECHNO AND INFO SPHERE

2018 ◽  
pp. 89-94
Author(s):  
V. A. Minaev ◽  
I. D. Korolev ◽  
V. V. Mukhortov
Keyword(s):  
Integrated Assessment ◽  
Noise Immunity ◽  
Maximum Intensity ◽  
Robotic Systems ◽  
Formal Definition ◽  
Protection Systems ◽  
Computer Attacks ◽  
Complex Technical Systems ◽  
Impact Protection ◽  
Technical Systems

The article deals with the issues of integrated assessment of complex technical systems stability functioning in techno sphere and info sphere. It is shown that the concept of cyber stability, including its components such as cyber reliability, noise immunity and cyber survivability are insufficiently investigated and defined. The formal definition is given and the scale with various gradation of cyber survivability is entered. On the example of robotic systems in form of drones two variants of mathematical models of cyber survivability estimation are considered. The first variant is related to the description of drones functioning in the conditions of computer attacks without impact protection systems. The second variant reflects the functioning of drones under the conditions of impacts in the presence of adaptive combined cybernetic protection system. In both variants, two strategies are considered - with minimal and maximum intensity of effects on the drone. It is concluded that proposed in the paper approach enables to evaluate the integrated stability of complex technical systems in the techno sphere and info sphere at the same time.

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