Enhanced sound attenuation using radially gradient sonic crystals with cladded resonators Debasish Panda, Amiya Ranjan Mohanty JVC Journal of Vibration and Control, 2025 This study investigates the sound attenuation characteristics of a radially gradient sonic crystal (RGSC) by analyzing two distinct configurations: one incorporating rigid resonators and the other featuring cladded resonators. Unlike conventional sonic crystals (SCs), the proposed RGSC structure is designed for radial wave propagation, making it effective for near-field applications. The inclusion of jute-felt cladding on the resonators enhances attenuation by increasing absorption at higher frequencies, addressing a key limitation of rigid-resonator-based SCs. A combination of finite element (FE) simulations and experimental measurements is used to analyze the insertion loss (IL) spectra of the RGSC. The results demonstrate that the resonance-induced bandgaps dominate attenuation in the lower frequency range (500–1400 Hz), while Bragg scattering effects govern higher frequencies. Notably, experimental findings confirm a significant improvement in attenuation due to cladding, particularly in the 3150–6400 Hz range. Furthermore, attenuation levels are experimentally analyzed at different measurement locations behind the RGSC. While attenuation is highest near the center, the inclusion of jute cladding improves performance even at outer locations, leading to effective broadband noise reduction. These findings suggest that RGSCs with cladded resonators can be highly effective for machinery enclosures, industrial applications, and urban noise control requiring omnidirectional noise mitigation.
MINING DUMPER MAINTENANCE SCHEDULE ESTIMATION USING WEIBULL MODEL AND PARTICLE FILTER Nagesh Dewangan, Amiya Ranjan Mohanty ASME International Mechanical Engineering Congress and Exposition Proceedings Imece, 2025 Mining dumpers operate under extreme environmental and mechanical conditions to transport materials in open-pit coal mines. Continuous operation of dumpers exposes them to heavy stress, leading to mechanical wear, component degradation, and eventual failures, resulting in unplanned downtime. Predictive maintenance, leveraging vibration monitoring, is crucial in mitigating failures by scheduling timely maintenance. By integrating predictive analytics with vibration data, mining operations can minimize unexpected downtimes and extend lifespan. Vibration analysis has been used in machine condition monitoring, but is limited to mining machinery. This study introduces a method for predicting dumper degradation using vibration signals, a Weibull failure rate function (WFRF), and a particle filter (PF). The recorded vibration signals are pre-processed to extract Root Mean Square (RMS) features for the different operations of the dumper. The RMS values are selected for the idling operation using activity tracking methods, where an increasing RMS signifies deterioration, highlighting the need for timely maintenance to be performed. The WFRF is used to characterize the degradation pattern and estimate its parameters from historical data. The PF, based on the Bayesian filtering technique, estimates the state of the system by representing uncertainty in data through a set of weighted particles. The estimated vibration trend and failure PDF are combined to determine the next maintenance schedule based on the time required to reach the threshold.
A NOVEL DESIGN FOR ENHANCING SOUND QUALITY OF DOMESTIC MIXER GRINDERS Proceedings of the International Congress on Sound and Vibration, 2024
Multi-fault Diagnosis of Industrial Rotating Machines Using Advanced Sliding Window and WSST-CNN 53rd International Congress and Exposition on Noise Control Engineering Internoise 2024, 2024
INVESTIGATION OF ABSORPTION CHARACTERISTICS OF COMPACT DOUBLE LAYER MICROPERFORATED PANEL ABSORBER Proceedings of the International Congress on Sound and Vibration, 2022
BEARING FAULT DETECTION IN PERMANENT MAGNET SYNCHRONOUS MOTORS USING VIBRATION AND MOTOR CURRENT SIGNATURE ANALYSIS Proceedings of the International Congress on Sound and Vibration, 2022
TRANSMISSION LOSS AND BACK PRESSURE ANALYSIS OF PERFORATED RESONATORS WITH EXTENDED INLETS Proceedings of the International Congress on Sound and Vibration, 2022
PREDICTION OF SOUND ABSORPTION CHARACTERISTICS OF HETEROGENEOUS MICROPERFORATED PANEL ABSORBER Proceedings of the International Congress on Sound and Vibration, 2022
A COMPARATIVE STUDY OF TIME-FREQUENCY ANALYSIS FOR THE APPLICATION OF FAULT DIAGNOSIS SYSTEM Proceedings of the International Congress on Sound and Vibration, 2022
A Cyber-Physical System Based Real-Time Fault Diagnosis of Induction Motors Structural Health Monitoring 2021 Enabling Next Generation Shm for Cyber Physical Systems Proceedings of the 13th International Workshop on Structural Health Monitoring Iwshm 2021, 2021
Localization of sound source by using delay estimators on signals from microphone arrays Proceedings of the 26th International Congress on Sound and Vibration Icsv 2019, 2019
Acoustic materials for industrial noise control Inter Noise 2018 47th International Congress and Exposition on Noise Control Engineering Impact of Noise Control Engineering, 2018
Noise control of a diesel locomotive for Indian railways Inter Noise 2018 47th International Congress and Exposition on Noise Control Engineering Impact of Noise Control Engineering, 2018
Cylinder misfire detection using engine sound quality metrics and random forest classifier 25th International Congress on Sound and Vibration 2018 Icsv 2018 Hiroshima Calling, 2018
Improvement of crow search and bat algorithms using two novel mutation operators Proceedings of International Conference on Computers and Industrial Engineering CIE, 2018
Detection of unbalance in a rotor-bearing system using a deterministic-stochastic approach 24th International Congress on Sound and Vibration Icsv 2017, 2017
Detection of boiling liquid levels by decomposition of acoustic waves measured using a waveguide 24th International Congress on Sound and Vibration Icsv 2017, 2017
Inverse estimation of sound absorption coefficient of natural jute material based on particle swarm optimization algorithm 24th International Congress on Sound and Vibration Icsv 2017, 2017
Support vector machine classifier for engine misfire detection using exhaust sound quality 24th International Congress on Sound and Vibration Icsv 2017, 2017
Acoustical characterization of bulk natural fibrous material using flow resistivity Proceedings of the Inter Noise 2016 45th International Congress and Exposition on Noise Control Engineering Towards A Quieter Future, 2016
Improvement of interior acoustics and speech quality of small office using natural material Proceedings of the Inter Noise 2016 45th International Congress and Exposition on Noise Control Engineering Towards A Quieter Future, 2016
Effect of pre-treatment process on the mechanical strength and transmission loss characterstics of jute fabric composites 20th International Congress on Sound and Vibration 2013 Icsv 2013, 2013
Model based fault identification of unbalance and misalignment simultaneously present in a rotor system Advances in Vibration Engineering, 2013
Most effective transducer locations for permanent health monitoring of a rotating machine 20th International Congress on Sound and Vibration 2013 Icsv 2013, 2013
Vibro-acoustic source path characterization of a domestic refrigerator 20th International Congress on Sound and Vibration 2013 Icsv 2013, 2013
Few strategies to improve sensor fusion N. Ghosh, Y. B. Ravi, S. Mukhopadhyay, A. Patra, S. Paul, A. R. Mohanty, A. B. Chattopadhyay, A. K. Chattopadhyay Proceedings of the IEEE International Conference on Industrial Technology, 2006
Gear box health monitoring through three phase motor current signature analysis Structural Health Monitoring 2003 from Diagnostics and Prognostics to Structural Health Management Proceedings of the 4th International Workshop on Structural Health Monitoring Iwshm 2003, 2003
