9 research outputs found

    In-Process Noise Detection System for Product Inspection by Using Acoustic Data

    No full text
    Objective quality inspection of products in manufacturing process is inseparable from sensor technologies. Inspection methods using analysis of vibration signals have advantages such as being non-destructive, accurate, fast for in-process application. This paper presents recent developments and applications of in-process product inspection which use vibration and acoustic data in various industry. In detail, the inspection system developed with accelerometer, laser vibrometer, laser ultrasonic sensor, acoustic emission sensor, and microphone are presented. An in-process noise detection system for car body parts inspection is introduced as a case study

    A bibliographic review of trends in the application of ‘criticality’ towards the management of engineered assets

    No full text
    Increasing budgetary constraints have raised the hiatus for allocation of funding and prioritisation of investments to ensure that long established and new assets are in the condition to provide uninterrupted services towards progressive economic and social activities. Whereas a key challenge remains how to allocate resources to adequately maintain infrastructure and equipment, however, both traditional and conventional practices indicate that decisions to refurbish, replace, renovate, or upgrade infrastructure and/or equipment tend to be based on negativistic perceptions of criticality from the viewpoint of risk. For instance, failure modes, failure effects, and criticality analyses is well established and continues to be applied to resolve reliability and safety requirements for infrastructure and equipment. Based on a bibliographic review, this paper discusses trends in meaning, techniques and usage of the term ‘criticality’ in the management of engineered assets that constitute the built environment. In advocating the value doctrine for asset management, the paper proposes a positivistic application of criticality towards prioritisation of decisions to invest in the maintenance of infrastructure and equipment.The research work was performed within the context of SustainOwner ("Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership"), a project sponsored by the EU Framework Programme Horizon 2020, MSCA-RISE-2014: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (grant agreement number 645733 — Sustain-Owner — H2020-MSCA-RISE-2014

    Maintenance policy optimization—literature review and directions

    No full text
    corecore