Advancing the efficiency of vessels condition monitoring program through scalable automatic diagnostics

At HAT Analytics, we provide innovative IoT solutions for Condition Monitoring (CM) of vessel mechanical assets. By integrating edge computing and cloud-based analytics, our systems offer real-time health insights for critical equipment, tailored to meet the specific needs of each client, and enhance asset reliability and performance.

With strong cybersecurity measures and data-sharing protocols such as API and Modbus TCP/IP, we ensure secure data handling and seamless integration with dashboards and ERP systems. Our machine learning algorithms continuously refine thresholds, providing actionable insights.

HAT Analytics holds LR’s “Digital Twin READY” AiP, and Ad|Vi|Se Live is ABS-certified as a Machinery Health Monitoring (MHM) Tier 2 SMART Function.

Health Monitoring solutions with powerful embedded diagnostics

Ad|Vi|Se: Portable Vibration Data Collection with Embedded Diagnostics

Ad|Vi|Se: Portable Vibration Data Collection with Embedded Diagnostics

Ad|Vi|Se handheld solution streamlines vessel machinery condition monitoring, reducing the need for costly physical surveys and minimizing reliance on onshore vibration specialists. Our advanced diagnostics algorithm, embedded directly in the handheld device, is specifically designed for evaluating rotating equipment on vessels. It automatically analyzes vibration data, detects potential issues, assesses their severity, and provides clear, actionable recommendations for proactive maintenance.

Ad|Vi|Se Live: Real-Time Online Monitoring for Continuous Machinery Health Insights

Ad|Vi|Se Live: Real-Time Online Monitoring for Continuous Machinery Health Insights

The Ad|Vi|Se Live system offers comprehensive, real-time monitoring of rotating assets onboard vessels. By combining advanced wireless sensors, edge computing, and cloud-based analytics, Ad|Vi|Se Live continuously tracks machinery health and provides actionable insights via automated assessments. The system’s dynamic, threshold-based analysis instantly alerts operators to deviations, allowing for prompt corrective actions

HAT API

HAT API

HAT API is used to integrate the machinery health reports with existing ERP systems. HAT diagnostics algorithm reports are translated immediately as maintenance jobs at vessel’s machinery PMS.

HAT Certificates

HAT Certificates

HAT Analytics Solutions is a certified provider of Artificial Intelligence (AI) solutions by LR. The Ad|Vi|Se Machine Health Monitoring system for rotating vessel assets has received LR’s “Digital Twin READY” Approval in Principle (AiP). Additionally, the Ad|Vi|Se Live system is certified by ABS as a Machinery Health Monitoring (MHM) Tier 2 SMART Function.

What we offer

simplicity 2

SIMPLICITY

Ad|Vi|Se systems requires no ship crew training due to its highly interactive graphical user interface. The photorealistic images, exclusively designed for ship machinery, combined with actual images of real machinery and One-Button operation functionality, provide a uniquely user-friendly platform for the performance of condition monitoring.

Instant Results 2

INSTANT RESULTS

No delays in machinery condition diagnosis. An embedded, powerful diagnostics and troubleshooting algorithm is running in the background, and provides meaningful condition reports in just a few seconds.

EXTREMELY LOW BANDWIDTH REQUIREMENTS 2

EXTREMELY LOW BANDWIDTH REQUIREMENTS

Ad|Vi|Se systems includes a secure policy protocol for trouble-free connection to the ship’s internet. HAT transmits only a single encoded data file of diagnostics results (7kb/machine) to the HAT Analytics ISO 27001 secure server. No need for large-volume vibration data files uploading for post-processing by onshore engineers.

BUSINESS ANALYTICS AND FLEET KPIS

Instant sharing of information. Machinery report is uploaded to an On-Line Condition Monitoring and Business Intelligence platform. From there, the information is securely accessible to the ship’s superintendents and fleet managers. This feature gives fleet managers the unique advantage of instant information, without delays for analysis by onshore engineers or due to ship network congestion.

MACHINE LEARNING ALGORITHM 2

MACHINE LEARNING ALGORITHM

Improvement throughout the lifetime of Ad|Vi|Se systems use. Machinery fault indicators are transmitted through the ship’s internet and populate a data lake of vibration levels and fault indicators of similar machinery types. A Supervised Machine Learning algorithm is continuously processing the data and updates the Ad|Vi|Se systems diagnostics algorithm, thus iteratively minimizing the probability of false positive or false negative events.

ON-LINE UPDATES 2

ON-LINE UPDATES

The

Ad|Vi|Se systems algorithm is automatically updated when connected to the ship’s internet. Updates are automatically installed without user intervention.

Ad|Vi|Se Digital Health Monitoring System

Ad|Vi|Se is the 2nd generation of portable Digital Health Monitoring developed by HAT Analytics for vessels rotating equipment. The Ad|Vi|Se uses a Micro Electro-Mechanical System (MEMS) technology to sense motion. This technology allows our system to capture slow motions and is suitable for equipment health monitoring as well as for vessel’s local structural vibrations and comfort level evaluation. Ad|Vi|Se ATEX for the monitoring of equipment in potentially explosive environment is the latest development succeeded with the integration of AGEN wireless vibration sensor Orlando 642-Ex.

HAT specifications and its embedded diagnostics algorithm are highly customized for the most reliable condition monitoring and reporting for the entire spectrum of ships’ machinery.

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KEEP IN TOUCH Contact Us

PHONE NUMBER

+357 242 53 834

ADDRESS INFO

Vasili Krokou 31A, Court 6041, Larnaca, Cyprus

EMAIL ADDRESS

info@hat-analytics.net