Root cause identification approach using decomposition of QFD and extended RPN for product manufacturing reliability degradation

Reliability is reflected in product during manufacturing. However, due to uncontrollable factors during production, product reliability may degrade substantially after manufacturing. Thus, root cause analysis is important in identifying vulnerable parameters to prevent the product reliability degradation in manufacturing. Therefore, a novel root cause identification approach based on quality function deployment (QFD) and extended risk priority number (RPN) is proposed to prevent the degradation of product manufacturing reliability. First, the connotation of product manufacturing reliability and its degradation mechanism are expounded. Second, the associated tree of the root cause of product manufacturing reliability degradation is established using the waterfall decomposition of QFD. Third, the classic RPN is extended to focus on importance to reliability characteristics, probability, and un-detectability. Furthermore, fuzzy linguistic is adopted and the integrated RPN is calculated to determine the risk of root causes. Therefore, a risk-oriented root cause identification technique of product manufacturing reliability degradation is proposed using RPN. Finally, a root cause identification of an engine component is presented to verify the effectiveness of this method. Results show that the proposed approach can identify the root cause objectively and provide reference for reliability control during production.

Joint Watermarking for Image Reliability Control in Encrypted and Compressed Domains

Sharing medical images can enormously help doctor in their day by day practice by permitting them to arrive at a symptomatic all the more rapidly. However, such images are sensitive and should be ensured. In this paper, propose the principal joint watermarking-encryption pressure conspire for the insurance of medical images. Its inventiveness is twofold. In a first time, it permits the admittance to watermarking-based security administrations from the scrambled and the compacted bitstreams without parsing them even part of the way. It gets conceivable to follow images and control their dependability from both the encoded and compacted spaces. In a second, it remains on the blend of spot replacement watermarking, JPEG-LS and the AES block figure in its CBC mode to make our plan. Tests directed on various medical images modalities (radiographic and retina pictures) show the ability of our framework to safely make accessible a message in both scrambled and compacted areas while limiting the contortion of the images.

Ensuring the Personnel Security of the Municipality

In modern realities, the issues of ensuring the personnel security of the municipality are of particular importance. Personnel security is a necessary component of any organization, including a municipality. In relation to the municipality, this issue is particularly relevant. There is an increase in the regulatory legal acts regulating the issues of ensuring personnel security. The article identifies the main tools for ensuring the personnel security of the municipality: selection and selection of personnel, loyalty and reliability, control, as well as various methods for assessing the personnel security of the municipality. It is concluded that the correct use of assessment methods can significantly improve the objectivity and reliability of the data, and, consequently, the personnel security of the municipality.

System of identification and monitoring of technical state of land transport-processing machines

Formation problems of a system for identification, monitoring of the technical state and proactive maintenance of airfield land transport-processing machines by using diagnostic data are discussed. The main goal of development and implementation the proactive maintenance system is reliability control and operation safety of transport-processing machines. For the solution of this problem it is necessary to identify and prevent damages in proper time. It requires to assign the specific class of intermediate states named the pre- emergency state class. Logical and physical models describing changes in machine states, technological processes, geolocation, event visualization are discussed. The implementation results of the system of identification, monitoring of the technical state and remote proactive maintenance of airfield land transport-processing machines by using diagnostic data are presented.

Surface Characterisation of Kolk-Boils within Tidal Stream Environments Using UAV Imagery

High-flow tidal stream environments, targeted for tidal turbine installations, exhibit turbulent features, at fine spatio-temporal scales (metres and seconds), created by site-specific topography and bathymetry. Bed-derived turbulent features (kolk-boils) are thought to have detrimental effects on tidal turbines. Characterisation of kolk-boils is therefore essential to inform turbine reliability, control, and maintenance strategies. It will also improve the understanding of potential ecological interactions with turbines, as marine animals use these sites for foraging. Unmanned aerial vehicle (UAV), or drone, imagery offers a novel approach to take precise measurements of kolk-boil characteristics (distribution, presence, and area) at the surface. This study carried out sixty-three UAV surveys within the Inner Sound of the Pentland Firth, Scotland, UK, over four-day periods in 2016 and 2018. Kolk-boil characteristics were examined against relevant environmental covariates to investigate potential drivers of presence and area. The results show that distribution at the surface could be predicted based on tidal phase, with current velocity significantly influencing presence above 3.0 m/s. The technique can be used to inform turbine development, micro-siting and provide better understanding of environmental implications of turbine operation. Finally, it highlights the suitability of UAVs for capturing rapid fine-scale hydrodynamic data in the absence of in situ measurements.

RELIABILITY OF EC 155 B1 AIRCRAFT COMPONENTS USING UPPER CONTROL LIMIT (ALERT LEVEL) FORMULATION

To provide a reliability and service from PT. Indonesia Air Transport & Infrastructure, operators have to make sure the condition of all the systems and the components of EC 155 B1 is serviceable. However, there is still a bunch of unusual repetitive defect that recorded and mostly it came from the most critical system that can occur an incident at any time. In this study discussed on EC 155 B1’s component Reliability Analysis Method Using Reliability Control Program (RCP), Reliability Control Program is the reliability of aircraft system by determining which component that has to be concern by define the Upper Control Limits (Alert Value). From the calculation of RCP, ATA Chapter 62 Main Rotor is the most defected.

Triad model: simulation - functional tensometry - information database in the assessment of the reliability of technological machines

The concept of a multidisciplinary approach to assessing the resource of individual components of the machine by combining database information based on simulation techniques and functional tensomethration is proposed. Simulations determine the reperative points of the tendometric sensors. The creation of a diagnostic model using basic concepts of information theory has allowed the development of a synergistic model for the recognition of the area of displacement of areas of uncertainty, which will ensure the identification of the defect (risk-denial). The formation of an electronic database of parametric data on the nature of loads as a diagnostic indicator of the change in the accuracy of pairing in machine systems is justified. Experimental studies were conducted on the model of the quick-capler. Hierarchical structuring of the machine to the level of mating parts with digital control of the criticality of the magnitude of external and internal loads ensures reliability control throughout the entire service life of the machine. When disposing of machines, this data allows you to obtain information about the residual resources of the elements for their reuse or the feasibility of restoration. This, in turn, will ensure the environmental friendliness and economy of the process.

Application of the Markov process to evaluate the reliability of a complex thermal power system

Determining the reliability of a thermal power plant as a whole or in its individual components often requires long and very expensive tests under special operating modes on a very large number of samples or gathering the required exploitation data, which is even more difficult because of the choice of a general mathematical method (different forms of curves which quantitatively define reliability with different failure density functions and the high dependence of such curves on changes in the operating modes of components and environmental conditions). The introduction of approximate calculations, in order to overcome these problems, gives an insight into the basic reliability characteristics of the observed system as a whole, but also insufficiently exact final parameters, due to a whole series of larger or smaller approximations, as well as the inability to take into account all existing influences (development of new technologies, specifics newly developed disorders, etc.). Calculating the reliability of a complex system is only the first initial phase of verifying quantitative characteristics, that is, the hypothesis itself that we have more or less confidence in. Their final acceptance or rejection is a verification of reliability through the control of certain quantitative system indicators for the given technical conditions of operation. For these reasons, alternative terms are often used to verify reliability in the literature, such as reliability control or hypothesis testing. Designing a reliability model, through the application of simulation methods, to select the best parameters for the functioning of components and systems as a whole, in technological terms, should be supported by appropriate experimental methods (using collected data and stored data from the past). This paper provides an analysis of the application of the Markov process to assess the reliability of a complex thermal power system, with the aim of scheduling appropriate decisions on maintenance actions based on the required level of reliability. The optimum timing of replacement / repair of parts of a complex thermal power system is defined before its failure or the need to act correctively. Also, these models serve to provide a level of reliability by carrying out adequate maintenance actions on complex units within the thermal power plant.

Reliability Control of Electric Racing Car’s Accelerator and Brake Pedals

Considering the rules of Formula Student Racing regarding functional and safety requirements of an electric vehicle’s power system, a reliability control model of accelerator and brake pedal is developed in the Matlab/Simulink platform. Voltage signals of the accelerator pedal are filtered. An amplitude limit module and consistency module check the filtered voltage signals of the accelerator pedal. The voltage signal of the brake pedal is processed to achieve the accurate position of the accelerator pedal and avoid the influence of incorrect signals and mis-operation on safety. The control model need not change the structure of the pedal and increase the sensors. Simulation and experimental results verified that the model can effectively avoid influences of pedal vibration on the voltage signal, identify the faulty signals and cut power output when the accelerator and brake pedal are depressed simultaneously.