Condition Monitoring of Next Generation Digitized Electric Subsea Actuators

2021 ◽  
Author(s):  
Tobias Winter ◽  
Markus Glaser
Keyword(s):  
Condition Monitoring ◽  
Health Management ◽  
High Reliability ◽  
Continuous Production ◽  
Water Concentration ◽  
Sensor Data ◽  
Mode Analysis ◽  
Detailed Knowledge ◽  
Electric Actuator ◽  
Digital Twin

Abstract A detailed knowledge about the health status of the installed assets is the key for continuous production without unexpected events and downtime, which causes production loss. A major aspect is the prediction of the occurrence of a failure before the affected function is demanded. This is one purpose of the Condition Monitoring (CM), Prognostics and Health Management (PHM) and the application of a Digital Twin. The paper presents the result of an ability analysis for a subsea actuator towards its possibilities to increase the availability through a novel and extensive grade of information. The paper presents the resulting architecture and solution to achieve an actuator design, which is capable to provide a high safety, high reliability and a predictive health management which is prepared for a digital twin application. For this purpose, an applied Condition Monitoring concept is described and shown based on the case study. The analysis and resulting solution is based on a detailed research towards the state of the art. Different available subsea actuators are analyzed towards the communication interfaces and the ability to allow CM. Therefore, the required status and information of the actuator are shown (e.g. Torque, position, temperature, acceleration, water concentration in oil, humidity, pressure, inclinometer). The required environment information about the actuator are evaluated with the help of a failure mode analysis. The different sensor principles provide the necessary information. The paper evaluates the significance of the sensor information towards the CM concept. The data can be provided on different communication interfaces and protocols. These are analyzed towards the satisfaction of the CM requirements. The result of the analysis is a detailed architecture of a CM capable subsea electric actuator including the CM concept. The possible interfaces are shown and the provided sensor data by the actuator. The sensors provide the input for the CM model and the remote accessibility and controllability of the actuator. The result is the novel design of a subsea actuator, which fits perfect in a digitalized subsea environment to increase the availability and controllability including a CM concept.

A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures

2021 ◽  
pp. 0309524X2110605
Author(s):  
Andreas W Momber ◽  
Torben Möller ◽  
Daniel Langenkämper ◽  
Tim W Nattkemper ◽  
Daniel Brün
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Protective Coating ◽  
Image Annotation ◽  
Initial Point ◽  
Sensor Data ◽  
Surface Protection ◽  
Digital Twin ◽  
Inspection Condition

The application of protective coating systems is the major measure against the corrosion of steel for tower sections of wind turbines. The inspection, condition monitoring and maintenance of protective coating system is a demanding and time-consuming procedure and requires high human effort. The paper introduces for the first time a Digital Twin concept for the condition monitoring and prescriptive maintenance planning for surface protection systems on wind turbine towers. The initial point of the concept is an in-situ Virtual Twin for the generation of reference areas for condition monitoring. The paper describes the integration of an online image annotation and processing tool, a maintenance model, corrosive resistance parameters, structural load parameters, and sensor data into the Digital Twin concept. The prospects of the concept and its practical relevance are shown for tower structures of large onshore wind turbines.

scholarly journals Field-synchronized Digital Twin framework for production scheduling with uncertainty

2020 ◽  
Author(s):  
Elisa Negri ◽  
Vibhor Pandhare ◽  
Laura Cattaneo ◽  
Jaskaran Singh ◽  
Marco Macchi ◽  
...  
Keyword(s):  
Real Time ◽  
Production Scheduling ◽  
Flow Shop ◽  
Health Management ◽  
Discrete Event ◽  
Operating Conditions ◽  
Sensor Data ◽  
Flow Shop Scheduling ◽  
Scheduling Problems ◽  
Digital Twin

Abstract Research on scheduling problems is an evergreen challenge for industrial engineers. The growth of digital technologies opens the possibility to collect and analyze great amount of field data in real-time, representing a precious opportunity for an improved scheduling activity. Thus, scheduling under uncertain scenarios may benefit from the possibility to grasp the current operating conditions of the industrial equipment in real-time and take them into account when elaborating the best production schedules. To this end, the article proposes a proof-of-concept of a simheuristics framework for robust scheduling applied to a Flow Shop Scheduling Problem. The framework is composed of genetic algorithms for schedule optimization and discrete event simulation and is synchronized with the field through a Digital Twin (DT) that employs an Equipment Prognostics and Health Management (EPHM) module. The contribution of the EPHM module inside the DT-based framework is the real time computation of the failure probability of the equipment, with data-driven statistical models that take sensor data from the field as input. The viability of the framework is demonstrated in a flow shop application in a laboratory environment.

scholarly journals Ubiquitous Health Management System with Watch-Type Monitoring Device for Dementia Patients

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Dongmin Shin ◽  
Dongil Shin ◽  
Dongkyoo Shin
Keyword(s):  
Data Analysis ◽  
Health Information ◽  
Health Management ◽  
Sensor Data ◽  
Analysis Algorithm ◽  
Smart Watch ◽  
Dementia Patients ◽  
Type Device ◽  
Fast Pace ◽  
Server System

For patients who have a senile mental disorder such as dementia, the quantity of exercise and amount of sunlight are an important clue for doses and treatment. Therefore, monitoring daily health information is necessary for patients’ safety and health. A portable and wearable sensor device and server configuration for monitoring data are needed to provide these services for patients. A watch-type device (smart watch) that patients wear and a server system are developed in this paper. The smart watch developed includes a GPS, accelerometer, and illumination sensor, and can obtain real time health information by measuring the position of patients, quantity of exercise, and amount of sunlight. The server system includes the sensor data analysis algorithm and web server used by the doctor and protector to monitor the sensor data acquired from the smart watch. The proposed data analysis algorithm acquires the exercise information and detects the step count in patients’ motion acquired from the acceleration sensor and verifies the three cases of fast pace, slow pace, and walking pace, showing 96% of the experimental results. If developed and the u-Healthcare System for dementia patients is applied, higher quality medical services can be provided to patients.

Condition Monitoring of Ship Propulsion Systems: State-of-the-Art, Development Trend and Role of Digital Twin

2021 ◽  
Author(s):  
Amir R. Nejad ◽  
Etienne Purcell ◽  
Mostafa Valavi ◽  
Roman Hudak ◽  
Benjamin Lehmann ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Performance Monitoring ◽  
State Of The Art ◽  
Development Trend ◽  
The Arctic ◽  
Special Focus ◽  
Shipping Industry ◽  
Propulsion Systems ◽  
Digital Twin ◽  
Ship Propulsion

Abstract This paper describes the current implementations and development trends of condition monitoring as it pertains to ship propulsion systems. In terms of total incidents in the shipping industry in the last five years, failures relating to the propulsion system represent the majority. Condition monitoring offers effective early detection of failure which translates to increased reliability and decreased maintenance costs. Current industrial practices are often limited to performance monitoring rather than condition monitoring. Special focus is afforded to how condition monitoring is implemented on board ships, which regulatory codes are relevant and the summary of state-of-the-art research in marine machinery. Moreover, operation and monitoring in extreme environmental conditions, such as the Arctic and Antarctic with ice impact on the propulsion has been discussed. The new developments, in particular, digital twin approaches in health and condition monitoring have been highlighted, considering its pros and cons and potential challenges.

Prognostics and Health Management of Choke Valves Subject to Erosion

2013 ◽  
pp. 313-331
Author(s):  
Giulio Gola ◽  
Bent H. Nystad
Keyword(s):  
Condition Monitoring ◽  
Performance Monitoring ◽  
Oil And Gas ◽  
Health Management ◽  
Cost Savings ◽  
Remaining Useful Life ◽  
Work Processes ◽  
Offshore Oil And Gas ◽  
And Performance ◽  
Monitoring Technologies

Oil and gas industries are constantly aiming at improving the efficiency of their operations. In this respect, focus is on the development of technology, methods, and work processes related to equipment condition and performance monitoring in order to achieve the highest standards in terms of safety and productivity. To this aim, a key issue is represented by maintenance optimization of critical structures, systems, and components. A way towards this goal is offered by Condition-Based Maintenance (CBM) strategies. CBM aims at regulating maintenance scheduling based on data analyses and system condition monitoring and bears the potential advantage of obtaining relevant cost savings and improved operational safety and availability. A critical aspect of CBM is its integration with condition monitoring technologies for handling a wide range of information sources and eventually making optimal decisions on when and what to repair. In this chapter, a CBM case study concerning choke valves utilized in Norwegian offshore oil and gas platforms is proposed and investigated. The objective is to define a procedure for optimizing maintenance of choke valves by on-line monitoring their condition and determining their Remaining Useful Life (RUL). Choke valves undergo erosion caused by sand grains transported by the oil-water-gas mixture extracted from the well. Erosion is a critical problem which can affect the correct valve functioning, resulting in revenue losses and cause environmental hazards.

Ecosystems in Zones of Conflict: The Case for Bandwidth Management

2002 ◽  
Author(s):  
Michel J. G. van Eeten ◽  
Emery Roe
Keyword(s):  
Ecosystem Management ◽  
High Reliability ◽  
Professional Group ◽  
Professional Culture ◽  
Detailed Knowledge ◽  
Entire System ◽  
High Reliability Organizations ◽  
Bandwidth Management ◽  
External Disturbances ◽  
Professional Representation

What profession that is core to ecosystem management is described in the following passage? . . . [Their professional] representation of a . . . system can be typified as physical, holistic, empirical, and fuzzy; . . . [treating] the system more as a whole than in terms of individual pieces; ... [expecting] uncertainty rather than deterministic outcomes...; [taking] uncertainty or “fuzziness” . . . to be inevitable and, to some degree, omnipresent; [seeing] ambiguity . . . pervade the entire system, and . . . [suspecting] the unsuspected at every turn. . . . [T]he underlying notion [in their professional culture] is that no amount of rules and data can completely and reliably capture the actual complexity of the system . . . [I]t is more important . . . for [these professionals] to maintain an overview of the behavior of the whole system than to have detailed knowledge about its components. . . . [They] tend to be very wary of [the pressure to intervene], primarily because it runs counter to a basic attitude of conservatism fostered by their culture: “when in doubt, don’t touch anything.” Their reluctance to take any action unless it is clearly necessary arises from the awareness that any operation represents a potential error, with potentially severe consequences. (Von Meier 1999, pp. 104-107) . . . We suspect that many readers would see ecologists (writ large again) as the professional group whose views are being described. Ecologists, as we have seen, frequently describe the ecosystem in just such terms: it responds to external disturbances, the whole system is more than the sum of its parts, it displays nondeterministic behavior, its complexity can never be fully captured and, therefore, management is extremely challenging, with managers always reluctant to intervene—at least in major ways—in ecosystems they do not know, because this potentially creates more problems than it solves. However, ecologists are not the group being described, and here is the surprise. Though the quoted phrases are almost textbook ecology material, the professional culture discussed here is in fact that of line operators in high reliability organizations (HROs).

scholarly journals Fault Identification of Broken Rotor Bars in Induction Motors Using an Improved Cyclic Modulation Spectral Analysis

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3279 ◽  
Author(s):  
Zuolu Wang ◽  
Jie Yang ◽  
Haiyang Li ◽  
Dong Zhen ◽  
Yuandong Xu ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Condition Monitoring ◽  
Induction Motors ◽  
High Reliability ◽  
Industrial Applications ◽  
Experimental Investigations ◽  
Signature Analysis ◽  
Step Size ◽  
Time Service ◽  
Vibration Signature

Induction motors (IMs) play an essential role in the field of various industrial applications. Long-time service and tough working situations make IMs become prone to a broken rotor bar (BRB) that is one of the major causes of IMs faults. Hence, the continuous condition monitoring of BRB faults demands a computationally efficient and accurate signal diagnosis technique. The advantage of high reliability and wide applicability in condition monitoring and fault diagnosis based on vibration signature analysis results in an improved cyclic modulation spectrum (CMS), which is one of the cyclic spectral analysis algorithms. CMS is proposed in this paper for the detection and identification of BRB faults in IMs at a steady-state operation based on a vibration signature analysis. The application of CMS is based on the short-time Fourier transform (STFT) and the improved CMS approach is attributed to the optimization of STFT. The optimal window is selected to improve the accuracy for identifying the BRB fault types and severities. The appropriate window length and step size are optimized based on the selected window function to receive a better calculation benefit through simulation and experimental analysis. Compared to other estimators, the improved CMS method provides better fault detectability results by analyzing vertical vibration signatures of a healthy motor, and damaged motors with 1 BRB and 2 BRBs under 0%, 20%, 40%, 60%, and 80% load conditions. Both synthetic and experimental investigations demonstrate the proposed methodology can significantly reduce computational costs and identify the BRB fault types and severities effectively.

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