AI-based acoustic condition monitoring of industrial machinery

Informazioni relative al progetto

Motorlisten

ID dell’accordo di sovvenzione: 827712

DOI

10.3030/827712

Progetto chiuso

Data della firma CE 17 Luglio 2018

Data di avvio 1 Agosto 2018

Data di completamento 31 Gennaio 2019

Finanziato da

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Costo totale

€ 71 429,00

Contributo UE

€ 50 000,00

Coordinato da

ONEWATT SOLUTIONS BV
Netherlands

Periodic Reporting for period 1 - Motorlisten (AI-based acoustic condition monitoring of industrial machinery)

Periodo di rendicontazione: 2018-08-01 al 2019-01-31

Sintesi del contesto e degli obiettivi generali del progetto

Globally, there are more than 300 million industrial electrical motors running. These motors consume around 70% of the power delivered to industrial facilities. They serve as the backbone of the industrial world, running 24/7 to support production lines. However, these motors experience faults which if left unaddressed, can bring a whole production line down. When this happens, the company can lose upwards of 260,000 USD per hour causing unproductive workforce, spoiled raw materials, and unsatisfied customers. Moreover, the electrical efficiency of the motor decreases over time as it experiences wear and tear, increasing energy consumption.

OneWatt developed an AI-based predictive maintenance system that listens and understands noise coming out of electrical motors. This system utilizes sensors called EARS that is totally non-invasive and non-contact, together with DSP and machine-learning it detects and predicts faults before they happen, avoiding unplanned downtime. The system also ensures that motors are working in its most efficient, decreasing energy consumption, and improving the productivity of maintenance.

The first goal is to analyze the commercial feasibility of the technology and identify which market segments, requirements, and strategies to be used. Second, identify parameters and methodologies to minimize energy consumption, increase asset lifespan, and increase reliability of predictions.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

Industrial Internet of Things adoption is proving to be the next big thing in terms of revolutionizing the way industries conduct their business. The benefits are massive, both economically and environmentally. The competition is also fierce, with both established brands and startups offering different solutions, which requires OneWatt to differentiate from the rest by focusing on the needs of the Automotive, FMCG, and Wind industries. The AI and hardware were adjusted to address the needs of these segments.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

With the success of the pilots and sales, OneWatt achieved product-market fit, and continues the commercialization of the product. Market leaders expressed interest in the project, including Engie, ABB, and Advantech. Moreover, clients have been converted to paying clients.

Beyond that, the system is expected to increase the productivity of maintenance teams in industrial facility, with OneWatt performing diagnosis and detection.

OneWatt is also expected to lower energy consumption by as much as 10% equivalent to 21.6TWh per year.

Live installation of OneWatt

Live installation of OneWatt with the hub